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Iron Mountain is seeking a motivated and detail-oriented People Operations Specialist Greece (Maternity Cover / Fixed-Term Contract) to join our People Operations team.In this role, you will provide essential HR administrative and foundational HR advisory support to ensure smooth day-to-day HR operations for our Greek entity.You will be responsible for managing core employee lifecycle administration, localized benefits tracking, internal system updates, and compliance tasks.This position is ideal for an organized HR professional with a strong administrative foundation who excels at balancing local regulatory requirements (such as ERGANI) with dynamic vendor and stakeholder management.What You'll Do (Responsibilities)In this role, you will:<ul><li>Core HR Operations &amp; Lifecycle Management: Monitor and handle all employee lifecycle stages, including onboarding agency hires (via SNOW and Ergani), processing regular terminations, and maintaining accurate digital and physical employee files.</li><li>Local Compliance &amp; ERGANI Reporting: Manage monthly teleworking declarations, prepare monthly annual leave reports for ERGANI compliance via our payroll partner, and act as a key contact for authority inspections, audits, and requests (e.g., Labor Inspection).</li><li>First-Line Advisory Support: Provide policy guidance and foundational support to people leaders regarding routine matters such as absence management, exits, and conduct issues, while collaborating with external legal counsel on highly critical or sensitive cases.</li><li>Local Benefits &amp; Vendor Administration: Oversee local employee perks and benefits programs, including calculating quarterly Ticket Cards (Edenred), tracking monthly fuel card allocations (Spendeo/EKO), managing toll and telecommunication device requests, and coordinating Groupama health insurance enrollments.</li><li>Payroll &amp; System Data Migration: Prepare and submit payroll cut-off details (including annual leave reports) to the payroll team, manage local profiles within the M-Files system, and actively support upcoming payroll transition and data migration activities.</li><li>Health, Safety &amp; Procurement Support: Serve as the primary local contact for our Health &amp; Safety partner (GEP), coordinate mandatory occupational doctor/technician visits, and review invoices or open Purchase Orders (POs) within Oracle.</li></ul>What You'll Bring (Skills &amp; Qualifications)The ideal candidate will have:<ul><li>Experience: Foundational experience working in a localized HR operations, HR administration, or HR generalist capacity within multinational company based in Greece.</li><li>Regulatory &amp; Systems Knowledge: Prior experience navigating the ERGANI platform, local Greek labor law compliance, and managing data tracking workflows. Familiarity with systems like Oracle, M-Files, or ServiceNow (SNOW) is a major plus.</li><li>HR Administration Precision: Proven ability to manage complex, multi-vendor files (such as fuel allocations, insurance data, and payroll cut-offs) with impeccable attention to detail and precision.</li><li>Communication &amp; Collaboration: Excellent responsiveness and interpersonal skills to seamlessly interface with internal employees, local people leaders, and third party outsourced vendors, and regional HR teams.</li><li>Education/Certification: Professional HR certification (e.g., CIPD, SHRM, or a local Greek university equivalent) is preferred but not required.</li></ul>What We Offer (Benefits)<ul><li>Flexible Work Options: Hybrid work in order to support a healthy work-life balance.</li><li>Compensation: Competitive salary and benefits package aligned with your professional experience.</li><li>Total Rewards: Comprehensive offerings designed to support your ongoing career growth, health, and well-being.</li></ul>

People Operations Specialist Greece

The CRM &amp; Loyalty Manager, Malls is responsible for developing and implementing CRM &amp; Loyalty strategy across LAMDA Malls to enhance customer engagement, increase footfall, drive sales, and strengthen brand affinity across the mall portfolio. The role focuses on creating data-driven customer experiences, managing loyalty programs, and leveraging customer insights to support commercial and marketing objectives.&nbsp;The CRM &amp; Loyalty Manager, Malls will be reporting to the Malls Marketing Director.&nbsp;In detail, the&nbsp;CRM &amp; Loyalty Manager, Malls will be responsible for:&nbsp;CRM Strategy &amp; Customer Engagement<ul><li>Develop and execute the CRM strategy aligned with the malls’ marketing and business objectives</li><li>Manage customer lifecycle communications through acquisition, engagement, retention, and reactivation</li><li>Design and implement personalized customer journeys across digital and physical touchpoints</li></ul>&nbsp;Loyalty Program Management<ul><li>Lead the development, implementation, and optimization of the loyalty program</li><li>Define loyalty program mechanics, rewards, benefits, partnerships, and member engagement initiatives</li><li>Monitor program performance and continuously improve customer participation and retention</li></ul>&nbsp;Data Analytics &amp; Customer Insights<ul><li>Analyze customer data and shopping behaviors to generate actionable insights</li><li>Monitor KPIs such as customer acquisition, retention, engagement, frequency, spending, and campaign performance</li><li>Create dashboards and reports to evaluate CRM and loyalty effectiveness</li></ul>&nbsp;Digital Platforms &amp; Technology<ul><li>Manage CRM and loyalty platforms, mobile applications, and customer databases</li><li>Support digital transformation initiatives related to customer engagement and personalization</li><li>Work closely with IT and digital teams to improve automation and customer experience tools</li></ul>&nbsp;You will be a successful candidate for our job opening, if you can identify yourself with the following criteria:&nbsp;Academic Qualifications:<ul><li>Bachelor’s degree in Marketing, Business Administration, Communications, or a related field</li><li>Excellent command of the English language; any additional foreign language will be considered an asset</li><li>Proficiency in Microsoft Office and reporting tools</li></ul>&nbsp;Professional Experience:<ul><li>5+ years of experience in CRM, loyalty, digital marketing, or customer engagement roles</li><li>Experience in retail, shopping malls, hospitality, or lifestyle brands is highly desirable</li><li>Strong understanding of CRM systems, loyalty platforms, marketing automation, and analytics tools</li><li>Excellent analytical and project management skills</li></ul>&nbsp;On a personal side, the ideal candidate:&nbsp;<ul><li>Customer-centric mindset with a passion for enhancing customer experience.</li></ul><ul><li>Ability to collaborate effectively with cross-functional teams and a collaborative, team-oriented attitude</li><li>Strong written and verbal communication skills</li><li>Strong time-management and organizational skills</li><li>Creative mindset with the ability to think strategically</li></ul><ul><li>Solid capability to oversee multiple cross-functional initiatives simultaneously, delivering them on time and within scope</li><li>Strong ability to connect day-to-day tactical operations with long-term commercial goals</li></ul>&nbsp; &nbsp; &nbsp; &nbsp; •&nbsp; &nbsp;Analytical and negotiation skills&nbsp;Our Company offers:&nbsp;Our vision is to bring to life the largest urban regeneration project in Europe. So, we need to attract the most talented people in our industry and offer all the necessary means and procedures to support them, not only to fill their job description but also to rise above and beyond expectations.&nbsp;Thus, we do provide:&nbsp;<ul><li>A passionate working environment</li><li>A competitive compensation package according to professional experience, combined with additional benefits</li><li>An exceptional opportunity to work in and develop one of the most challenging Companies in Greece!</li></ul>

CRM & Loyalty Manager, Malls (1786)

As a Business Development &amp; Innovation Analyst, you will support the company’s growth strategy through data analysis, market intelligence, and strategic insight within the digital payments ecosystem. The role focuses on analyzing transaction data and product performance, monitoring developments in the payments and fintech landscape, and generating insights that support the evolution and positioning of DIAS services. You will work with internal data and business intelligence tools, contribute to the evaluation of products and services, and support informed decision‑making in a fast‑evolving financial technology environment.Responsibilities<ul><li>Analyze transaction data and product performance to identify trends, patterns, and growth opportunities</li><li>Produce dashboards, reports, and analytical insights using BI tools and internal data sources</li><li>Monitor market and competitive developments in payments, fintech, and financial services</li><li>Support product and innovation initiatives through data‑driven analysis and market insights</li><li>Provide analytical support to business development activities, including preparation of materials for partners and stakeholders</li><li>Prepare reports and presentations for internal stakeholders and senior management, translating complex information into clear business recommendations</li><li>Maintain awareness of industry and regulatory developments relevant to digital payments and financial infrastructure</li></ul>Position Requirements<ul><li>Bachelor’s degree in Business Administration, Computer Science, or another relevant field</li><li>A postgraduate degree in a relevant field will be considered an asset</li><li>Minimum of 3 years of relevant professional experience in Technology Sales or Business</li><li>Development roles within the payments, IT, or financial services sectors</li><li>Excellent communication and presentation skills in both Greek and English</li></ul>Required Knowledge, Skills, and Abilities<ul><li>Strong networking and relationship-building skills</li><li>Commercial awareness and ability to translate data and market insights into business opportunities</li><li>Time management and planning skills</li><li>Excellent analytical, reasoning, and problem-solving skills</li></ul>Will be considered a plus<ul><li>Experience in payment systems, financial infrastructure, or fintech environments</li><li>Experience participating in industry events or public-facing initiatives</li></ul>Why Would You Enjoy Working with Us?As a member of our team:<ul><li>You will be part of a mission-critical fintech company that plays a central role in digital payments in Greece</li><li>You will experience a work environment built on meritocracy, transparency, and recognition</li><li>You will participate in trainings, seminars, and certifications to continually enhance your professional development</li><li>You will gain exposure to cutting-edge payment services and national financial infrastructure</li></ul>What We Offer<ul><li>Competitive remuneration package</li><li>Private health &amp; life insurance plan for you and your family</li><li>Children allowances</li><li>Meal benefits</li><li>Hybrid working model</li><li>Training &amp; development opportunities</li><li>A stable, positive, and inclusive work environment</li></ul>

Business Development & Innovation Analyst

CrediaBank is seeking for a Business Intelligence Analyst within the MI Reporting Unit. As Business Intelligence Analyst you will collect, process and analyze data and create and maintain data structures, while utilizing reporting tools to provide reliable information to relevant business units. The ideal candidate will have experience in data analysis, preferably in the financial sector, and demonstrate strong analytical skills anddetail-oriented mindset as well as ability to integrate information into comprehensive solutions.Responsibilities• Collect, process and consolidate data, utilizing Business Intelligence tools to ensure accurate and consistent information• Design and implement mechanisms to ensure seamless and secure flow of information across relevant business units• Develop, configure and maintain robust data structures to meet reporting needs• Understand regulatory requirements and automate regulatory reporting processes• Organize and manage the unit’s information database and all related documentation, to ensure accessibility to information• Provide technical input, design and maintenance support for reporting tools and data visualization solutions.Qualifications• A bachelor's degree preferably in Science, Computer Science or any other related degree• Α master's degree is desirable in a relevant field of study• Excellent command of English (both written and spoken)• Strong computer literacy and proficiency in MS Office• At least 3 (three) years of professional experience in data analysis or another related field• Proficiency in data analysis / statistical analysis• Very good knowledge of SQL and/or other statistical programming languages• Proficiency in programming languages (e.g., Python, R, SAS)• Experience with Power BI and/or other Business Intelligence tools will be highly appreciated• Strong analytical thinking and high attention to detail• Critical thinking and problem-solving ability• Excellent communication, collaboration and organizational skills• Ability to adapt in a fast-paced working environment• Continuous learning mindset

Business Intelligence Analyst

Intellectica is recruiting an experienced and highly skilled Principal Data Scientist on behalf of a newly established AI &amp; Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. This role reports directly to the CTO and plays a central role in defining and executing the company’s data science strategy.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Architecting innovative data science solutions that ensure scalability, robustness, and reliability across diverse domains</li><li>Leading product-level modeling strategies end-to-end, from research and prototyping to production deployment and monitoring</li><li>Defining and promoting best practices across the data science lifecycle, aligned with the company’s MLOps operating model</li><li>Coaching and mentoring senior data scientists, fostering skill development and consistency across teams</li><li>Collaborating with ML and Site Reliability Engineers to shape the AI infrastructure roadmap and technology portfolio</li><li>Advising on business development strategy, identifying market opportunities where AI offers a competitive edge</li><li>Translating complex operational challenges into data-driven solutions for public sector clients and partners</li><li>Driving exploration and adoption of emerging technologies such as distributed LLM inference, foundational model fine-tuning, and simulation-based ML</li><li>Contributing to the development of Verification &amp; Validation methods for AI in safety- and mission-critical contexts</li><li>Ensuring secure and responsible use of AI across all projects</li><li>Representing the company in external conferences, expert panels, and consortia, leading thought leadership in defense-focused AI</li></ul>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>PhD or equivalent graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field</li><li>Minimum 8 years of experience in advanced data science and machine learning, with a strong track record of production-level solution delivery</li><li>Deep proficiency in Python and its ML ecosystem (e.g., Pandas, NumPy, PyTorch, TensorFlow, Hugging Face)</li><li>Expertise in full ML workflows including data engineering, model design, training, deployment, and lifecycle management</li><li>Proven experience with large-scale or distributed ML systems (e.g., Ray, PyTorch Lightning, Horovod)</li><li>Demonstrated proficiency in at least two of the following: large language models, computer vision, multimodal learning, generative AI</li><li>Hands-on experience integrating ML models into operational systems with real-time performance monitoring</li><li>Familiarity with cloud-native and high-performance computing environments (AWS, Azure, GCP, or on-prem HPC)</li><li>Experience with computer vision algorithms (e.g., R-CNN, YOLO)</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Excellent communication and interpersonal skills to engage effectively with internal and external stakeholders across all levels</li><li>Strategic thinker with ability to align research with mission needs</li><li>Inspiring leader and mentor across data science teams</li><li>Fast and creative prototype builder</li><li>Decisive in ambiguous, high-stakes situations</li><li>Resilient and adaptable in dynamic environments</li><li>Collaborative and alignment-driven across teams and partners</li></ul>

Senior Data Scientist

Κύριες Αρμοδιότητες<ul><li>Συμμετοχή στην ανάπτυξη και υλοποίηση προγραμμάτων loyalty &amp; rewards.</li><li>Παρακολούθηση και ανάλυση δεδομένων για αναγνώριση τάσεων και ευκαιριών.</li><li>Ικανότητα διαχείρισης και ενημέρωσης της πλατφόρμας loyalty,</li><li>Συνεργασία με τα τμήματα Marketing, Sales και Customer Service για κοινές στρατηγικές.</li></ul>Απαραίτητα Προσόντα<ul><li>Πτυχίο Marketing, Διοίκησης Επιχειρήσεων, Τουρισμού ή συναφούς κλάδου.</li><li>Τουλάχιστον 1 χρόνος εμπειρίας σε loyalty programs</li><li>Αναλυτική σκέψη και ικανότητα αξιοποίησης δεδομένων πελατών.</li><li>Γνώση συστημάτων CRM / loyalty management.</li><li>Άριστες επικοινωνιακές και οργανωτικές δεξιότητες.</li><li>Πολύ καλή γνώση Αγγλικών.</li><li>Γνώση δεύτερης ξένης γλώσσας θα εκτιμηθεί</li></ul>___________________________________________________________Key Responsibilities<ul><li>Participate in the development and execution of loyalty and rewards programs.</li><li>Monitor and analyze data to identify trends and opportunities.</li><li>Manage and update the loyalty platform.</li><li>Collaborate with Marketing, Sales, and Customer Service teams to develop joint strategies.</li></ul>Required Qualifications<ul><li>Bachelor’s degree in Marketing, Business Administration, Tourism, or a related field.</li><li>Minimum of 1 year of experience in loyalty programs.</li><li>Strong analytical skills and ability to leverage customer data.</li><li>Knowledge of CRM and loyalty management systems.</li><li>Excellent communication and organizational skills.</li><li>Very good knowledge of English.</li><li>Knowledge of a second foreign language will be considered an asset.</li></ul>

Loyalty Specialist

We are seeking a&nbsp;Lead Data Integration Engineer&nbsp;to join the innovative Data Practice team and make an impact on EPAM's strategic initiatives.In this role, you will focus on creating robust data systems and applications to support effective decision-making. Key priorities include developing and maintaining data pipelines, data-driven solutions in public clouds like AWS or Azure, and facilitating seamless data migration from on-premises infrastructure to the cloud. You will also work on building key components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Drive EPAM strategic data initiatives</li><li>Design and manage enterprise data solutions within Public Cloud environments (AWS, Azure)</li><li>Build components for enterprise data platforms to ensure efficient data workflows</li><li>Collaborate with data scientists, architects, and other stakeholders to address data requirements</li><li>Implement structured, secure, and auditable processes to safeguard data integrity</li><li>Identify and resolve data-related issues while enhancing overall system quality</li></ul>Requirements<ul><li>5+ years of experience as a Data Engineer or in a similar role</li><li>Proficiency in SQL and Python</li><li>At least one year of relevant leadership experience</li><li>Background in Public Cloud platforms (AWS, Azure), DBMS, and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Skills in data acquisition, including API calls, FTP downloads, ETL, transformation, storage, and distribution</li><li>Background in building components for enterprise data platforms, such as Data Warehouses, Operational Data Stores, API access layers, file extracts, or query systems</li><li>A bachelor’s degree in computer science, IT, or a related discipline</li><li>Competency in effective communication</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Integration Engineer Remote

Lead Data Integration Engineer

As our founding Data Engineer, you will do more than just build data pipelines; you will design and construct the central nervous system of our company. You are a systems thinker who sees data as the connective tissue that links our commercial, operational, and scientific functions. Your mission is to build a trusted, scalable, and secure data warehouse that will empower every department to move from intuition to insight.You will be responsible for the entire data lifecycle—from ingestion and transformation to modeling and delivery—ensuring that our data is not just available, but is also clean, reliable, and structured to answer the most critical business questions. You will be the technical cornerstone of our data transformation.&nbsp;Main Responsibilities&nbsp;Architect &amp; Build<ul><li>Lead the design, development, and deployment of our new enterprise data warehouse on a modern cloud platform</li><li>Develop and implement robust ETL/ELT processes to ingest data from diverse source systems across the company</li><li>Create logical and physical data models that are optimized for performance and ease of use for analytics</li></ul>&nbsp;Govern &amp; Maintain<ul><li>Establish and enforce data quality standards and frameworks to ensure the accuracy and integrity of our data assets</li><li>Monitor, troubleshoot, and optimize data pipelines and warehouse performance</li><li>Implement data security and access controls in partnership with the platform team</li></ul>&nbsp;Collaborate &amp; Enable<ul><li>Work with business stakeholders and analysts to understand their data needs and translate them into technical specifications</li><li>Partner with Application Owners to ensure you have a clear understanding of source system data structures and APIs</li><li>Create clear documentation for data models, data dictionaries, and pipeline logic to enable self-service and team understanding</li></ul>&nbsp;Your Core Expertise&nbsp;Data Engineering CraftsmanshipThis is your deep domain. You are a hands-on builder with demonstrable mastery in:<ul><li>Data Warehousing:&nbsp;Architecting and implementing modern cloud data warehouses (e.g., Azure Synapse, Databricks) from the ground up</li><li>Data Modeling:&nbsp;Designing and implementing robust, scalable data models (e.g., star schemas, Data Vault) that serve analytics and reporting needs</li><li>ETL/ELT Pipeline Development:&nbsp;Building, orchestrating, and maintaining resilient data pipelines to extract data from a variety of source systems (ERPs, CRMs, LIMS, flat files)</li><li>Advanced SQL:&nbsp;Possessing deep, fluent expertise in SQL for complex querying, data manipulation, and performance tuning</li><li>Programming for Data:&nbsp;Strong proficiency in a language like Python and its data ecosystem (Pandas, PySpark, etc.) for data transformation and automation</li><li>Cloud Data Services:&nbsp;Hands-on experience with cloud data tools (e.g., Azure Data Factory, AWS Glue)</li></ul>&nbsp;Your Broad Capabilities&nbsp;The Data SynthesizerThis is what makes you a strategic partner, not just a technician:<ul><li>Synthesis &amp; Systems Thinking:&nbsp;You naturally see how data from different parts of the business (Sales, Supply Chain, Manufacturing) fits together to tell a larger story. You design data models that enable this holistic view, allowing the business to synthesize information, not just analyze it in silos</li><li>Business Acumen:&nbsp;You are deeply curious about the "why" behind the data. You seek to understand the business processes that generate the data and the business objectives that analytics will support</li><li>Collaboration:&nbsp;You are a key partner to the entire Digital &amp; Technology team, working closely with Application Owners to understand source systems, Business Analysts to define data requirements, and BI Analysts who are the consumers of your work</li><li>Data Governance &amp; Quality:&nbsp;You are a champion for data quality. You build frameworks for data cleansing, validation, and monitoring because you know that analytics is worthless if the underlying data isn't trusted</li><li>Compliance &amp; Data Integrity:&nbsp;You have a strong appreciation for the principles of data integrity (ALCOA+) and the requirements of working in a GxP-regulated environment. You know how to build data systems that are secure, auditable, and compliant</li></ul>&nbsp;Key Requirements<ul><li>More than 3 years of dedicated experience as a Data Engineer, BI Developer, or in a similar data-focused role</li><li>Proven, hands-on experience building and managing data warehouses and complex ETL/ELT pipelines</li><li>Expert-level proficiency in SQL</li><li>Strong programming skills in Python for data manipulation</li><li>Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field</li><li>Fluency in both Greek and English</li></ul>&nbsp;Additional skills to be considered as advantages<ul><li>Experience working in the pharmaceutical, life sciences, or another regulated GxP industry is a massive advantage</li><li>Hands-on experience with modern data stack tools (e.g., Spark, Airflow)</li><li>Experience with data visualization tools (e.g., Power BI, Tableau) to understand the needs of your end-users</li><li>Cloud data engineering certifications (e.g., Azure Data Engineer Associate, AWS Certified Data Analytics)</li></ul>

Data Engineer

Own and maintain the accuracy, integrity, and consistency of Accounts Receivable (AR) data across systems, and collaborate with cross functional stakeholders to ensure data quality, reporting consistency, and scalable AR processes.Lead the preparation, automation, and continuous enhancement of AR reports, including KPIs and dashboards for management reporting, as well as cash application, unapplied cash, and dispute tracking.Drive the implementation and ongoing optimization of AI enabled cash application and reconciliation solutions, in close collaboration with Finance and IT.Monitor, analyze, and explain AR trends, variances, and risks, providing insightful commentary to support decision making.Manage and reconcile customer deposits and customer account balances, and oversee card acquiring reconciliations, ensuring completeness, accuracy, and alignment between operational and financial data.Support month end closing activities, with a strong focus on AR accuracy, reconciliations, and reporting deadlines, while actively contributing to process standardization, automation, and continuous improvement initiatives within AR and Order to Cash.What will you bring?Strong analytical and reporting mindset, with high attention to detail and data accuracy, and strong communication and problem solving skills, with the ability to translate data into clear insights.Solid experience in Accounts Receivable, AR reporting, finance analytics, or similar finance roles (minimum 3 years preferred).Proven ability to work with ERP systems and reporting tools (ERP, Excel, PowerPoint – mandatory).Interest or experience in automation, AI enabled finance processes, or advanced reconciliations is a strong advantage.Bachelor’s degree in Accounting, Finance, Business Administration, or a related field, and proficiency in English (preferred).Experience with Oracle Hospitality OPERA PMS, Power BI, or similar BI tools is considered an asset.What we offerTeamBecoming a member of an organization that cares about its people, the environment, and the local communities.Grow&nbsp;Have room to grow and develop via numerous opportunities for learning, professional development, and career advancement.CareCompetitive remuneration package.Private health insuranceFlexible working model

Accounts Receivable Reporting & Automation Officer

Intellectica is recruiting a Documentation Engineer on behalf of its client, a leading provider of engineering solutions for subsea cable installation and offshore energy infrastructure. With a strong focus on technical excellence and reliable project delivery, the company is expanding its team to support a growing portfolio of international projects. Based in Attiki, Greece, the role reports to the to the Operations Manager of the Offshore &amp; Marine Construction Division and will take full ownership of technical reporting and project documentation across all phases. This is an excellent opportunity for a detail‑driven professional who wants to contribute to high‑impact offshore projects within a fast‑growing international environment.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Owning the compilation and delivery of all project documentation, including daily, weekly and final reporting packages</li><li>Processing and organizing survey outputs and burial data, ensuring accuracy, consistency and correct formatting for internal use and client submission</li><li>Preparing as‑laid and as‑built documentation, integrating survey data, installation records and engineering inputs into complete, auditable dossiers</li><li>Producing clear, structured and technically accurate reports, aligned with client specifications, project requirements and internal quality standards</li><li>Managing document control activities, including versioning, traceability, file naming conventions and controlled distribution across project stakeholders</li><li>Coordinating review and approval cycles, ensuring timely contributions from engineering, survey and project teams</li><li>Ensuring documentation compliance with contractual, technical and regulatory requirements throughout the project lifecycle</li><li>Supporting project teams during planning and execution, providing documentation updates, clarifications and structured data organization</li><li>Any other task that may be required from time to time</li></ul>&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s Degree in Engineering, or a related field</li><li>Professional experience in offshore, subsea, survey or marine projects, ideally involving reporting, survey data handling or documentation preparation</li><li>Familiarity with EIVA, Makai or similar survey/engineering software is highly preferred</li><li>Strong technical writing skills, with the ability to produce structured, accurate and client‑ready documentation</li><li>Comfortable working with survey datasets, offshore logs, installation records and other technical project inputs</li><li>Proficient in MS Office, especially Word and Excel; experience with document management systems is an advantage</li><li>Excellent command of Greek and English (spoken and written)</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Analytical and structured thinking</li><li>High attention to detail, accuracy and clarity</li><li>Strong organizational skills</li><li>Reliable under deadlines</li><li>Collaborative and team-focused mindset</li><li>Clear and confident communicator</li><li>Adaptable and proactive problem-solving</li></ul>

Documentation Engineer

We’re currently looking for a Customer Management Specialist based in Heraklion, Crete to join our fantastic team!In this key role, you’ll be responsible for managing a portfolio of clients, including one of the largest retail chains in the area. Your daily routine will include visiting existing customers and actively seeking new business opportunities.To succeed, you’ll negotiate contracts, act as the link between our company and the customer, and analyze sales data to plan your visits effectively - daily, monthly, and quarterly.You’ll work toward both quantitative and qualitative targets, ensuring our brands are well represented in stores according to marketing guidelines. You’ll also handle customer inquiries regarding products, pricing, availability, and payment terms.You’ll be responsible for preparing and submitting sales contracts and keeping accurate client records. Additionally, you’ll present quarterly reports and share results for your area of responsibility. Key Accountabilities<ul><li>Visits current and potential clients to develop new cooperation and agreements&nbsp;(accounts in Creta &amp; Rhodes)</li><li>Negotiates and liaises between customer and company</li><li>Analyzes sales data per customer and prepares and executes daily/monthly/quarterly visitation plan to achieve quantitative and qualitative targets</li><li>Promotes and improves our brands instore visibility according to marketing guidelines</li><li>Answers customer questions about credit terms, products, prices, and availability</li><li>Prepares and submits sales contracts and maintains client records</li><li>Presents quarterly reports and results for his/her area of responsibility</li></ul>&nbsp;Candidate&nbsp;Profile<ul><li>Bachelor’s Degree in Economics / Business Administration or any equivalent</li><li>At Least 2 years of experience in Sales preferably within FMCG sector</li><li>Experience working with retail chain clients is a strong advantage.</li><li>Good command of English language</li><li>Good knowledge of MS-Office</li><li>You’re passionate about sales and have excellent communication and negotiation skills.</li><li>You’re customer-focused, results-driven, accountable, and a natural problem solver.</li><li>You thrive in a dynamic environment and can easily adapt to change.</li><li>A valid driver’s license is required.</li><li>Mobility – you’re open for periodical travels across the region</li></ul>

Customer Management Specialist

We are looking for a Senior Health Claims Expert – Individual Claims to join our Life &amp; Health Claims Division. In this role, you will lead initiatives to detect, prevent, and mitigate Fraud, Waste, and Abuse (FWA) across health insurance claims, combining deep operational expertise with advanced analytics. You will collaborate closely with data scientists, engineers, and compliance teams to design and implement solutions that strengthen claims integrity and minimize financial risk.What You Will Do:Claims Expertise &amp; Oversight<ul><li>Provide subject matter expertise on health claims processes, adjudication rules, and regulatory compliance.</li><li>Review and validate claim patterns, anomalies, and high‑risk indicators identified through analytics.</li></ul>Collaboration with Data Teams<ul><li>Partner with data analysts and engineers to define business requirements for FWA detection models.</li><li>Translate operational insights into data features used in predictive modeling and anomaly detection.</li><li>Validate model outputs and ensure alignment with business logic and balanced risk‑based decisions.</li></ul>Fraud Detection &amp; Prevention<ul><li>Support the development of advanced FWA strategies leveraging analytics, AI, and rule‑based systems.</li><li>Contribute to the creation of dashboards and reporting tools for monitoring suspicious claim behaviors.</li><li>Recommend corrective actions and process improvements based on analytical findings.</li></ul>Stakeholder Management<ul><li>Communicate complex analytical insights to non‑technical stakeholders in a clear and actionable manner.</li><li>Train claims teams (including TPA partners) on emerging fraud trends and data‑driven prevention techniques.</li></ul>What You Bring:Required<ul><li>8+ years of experience in health claims management, including at least 3 years in fraud detection.</li><li>Familiarity with analytics concepts (predictive modeling, anomaly detection).</li><li>Ability to work with SQL and dashboards (Power BI/Tableau), and understand data pipelines.</li><li>Strong understanding of the health insurance market, coding standards, and claims workflows.</li><li>Excellent analytical thinking, communication, and stakeholder engagement skills.</li></ul>Preferred<ul><li>Exposure to machine learning applications in healthcare.</li><li>Experience with FWA tools (e.g., SAS Fraud Framework).</li><li>Certification in fraud examination (CFE) or healthcare compliance.</li></ul>What We Offer:• Extensive training opportunities – on-demand and on-site • Partnerships with educational institutions across Greece for advanced study, with tuition support • Comprehensive Health Insurance for peace of mind and financial protection • Well-being support and work–life balance • One‑time budget for home-office equipment • Recognition and rewards for excellence • Monthly meal allowance • Newly renovated, centrally located offices with easy access

Senior Health Claims Expert (Individual Claims)

As an HR Budget, Reporting and Regulatory Affairs Analyst, you will support the monitoring of HR Budget and Regulatory Affairs activities, as well as the preparation of internal and external reports, contributing to accurate data collection, analysis, reporting, and the effective execution of financial and regulatory processes and deliverables.What you will be doing&nbsp;<ul><li>Assist in the preparation of budget analyses and reports, supporting the monitoring of HR budget-related activities</li><li>Support the analysis and validation of workforce requirements, contributing to accurate workforce planning inputs</li><li>Collect and perform initial analysis of the Group’s headcount evolution, providing data that supports monitoring and decision-making</li><li>Collect budgeting input from various business areas, ensuring accurate and timely data entry for reporting and analysis purposes</li><li>Support the development and maintenance of Excel financial models, forecasts, and scenario analyses to assist budget monitoring and planning activities</li><li>Assist in the alignment, update, and improvement of the content of all Remuneration Policies and Annexes across the Group</li><li>Support the preparation of internal and external reports (e.g. FINREP, COR22) to ensure the Group’s compliance with regulatory requirements</li><li>Support the preparation of material for RemCo meetings and collaborate with other teams across HR to assist with the preparation and timely submission of their respective materials</li></ul>&nbsp;&nbsp;What you need to have&nbsp;<ul><li>A Bachelor’s degree, preferably in Economics, Finance, Accounting, Business Management, Engineering, or another relevant field</li><li>A Master’s degree in a relevant field (preferred)</li><li>One (1) to three (3) years of professional experience in budgeting, reporting, regulatory reporting, or a related analytical function, regardless of industry</li><li>Knowledge of budgeting analysis, HR data analysis, cost benefit analysis, reporting, and data collection and analysis processes will be considered an asset</li><li>Advanced proficiency in MS Office applications, particularly Excel and PowerPoint, including the use of complex Excel functions, Pivot Tables, formulas, and financial analysis/reporting tools</li><li>Strong communication, collaboration, and time management skills, with attention to detail when handling financial, workforce-related, and regulatory data</li><li>Strong analytical thinking skills to support reporting, forecasting, and regulatory deliverables</li></ul>&nbsp;What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community</li><li>Flexible working options</li><li>A competitive salary and benefits</li></ul>

HR Budget, Reporting and Regulatory Affairs Analyst

As a Retail Analytics Specialist, you will play a key role in supporting the strategic direction of Allwyns’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while monitoring performance and delivering insightful reports. Additionally, you’ll provide comprehensive analytics and reporting across the entire retail ecosystem, supporting stakeholders at all levels, from agents and Marketing Units to Area Managers, Sales teams, and top management.&nbsp;What your day to day will include:<ul><li>Monitoring retail network KPIs (Allwyn stores, Play Stores, indirect channels) and developing Power BI reports (annual, quarterly, monthly, ad-hoc) with detailed performance analysis by region, store, and product.</li><li>Conducting post-investment appraisal of retail initiatives, evaluating store uplift based on solid methodologies.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Expanding automation in reporting utilizing AI features</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li><li>Providing clear &amp; meaningful KPI specs, efficient database preparation &amp; ensuring optimized Power BI reports</li></ul>&nbsp;What you’ll bring:<ul><li>Bsc in Management Science &amp; Technology, Mathematics, Statistics, Computer Science or relevant field, Master's degree will be considered an asset</li><li>Hands-on experience in data mining and analysis of big data in large-scale data environments</li><li>Excellent knowledge of SQL and ETL/ELT processes</li><li>Good knowledge of programming languages, statistical models and analytics tools (Python, R, Databricks, SAS)</li><li>Solid experience in data visualization tools (Power BI, Tableau)</li><li>Advanced MS Excel knowledge</li><li>Familiarity with ML/AI applications in retail or behavioural analytics</li><li>Strong analytical and conceptual thinking; ability to translate findings into real-world recommendations</li><li>Excellent communication skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s&nbsp;in it for you?&nbsp;🚀 An award-winning working environment &nbsp;💸 Competitive salary package and bonus scheme &nbsp;🩺&nbsp;Health insurance coverage, Pension Plan and Annual Health Checkup &nbsp;💻&nbsp;Hybrid working model &nbsp;🏢 State of the art facilities including gym&nbsp;&amp;&nbsp;restaurant&nbsp;🎓 Continuous learning powered by Allwyn Academy &nbsp;💼 Internal career opportunities &nbsp;👪&nbsp;Family Support incl. daycare&nbsp;voucher&nbsp;and assisted reproduction&nbsp;voucher&nbsp;🌱 Volunteering program, including 2 extra days off to give back&nbsp;💪 Well-Being Program incl. sports teams, nutritionist &amp; psychologist services, Employee Assistance line and more&nbsp;🗓️ Allwyn Day - one extra day off&nbsp;&nbsp;🍴 Monthly food allowance&nbsp;&nbsp;🚌&nbsp;Shuttle service for easy commute to our offices&nbsp;🛍️ Exclusive employee discounts across a range of partners ️&nbsp;

Retail Analytics Specialist (3962)

The Greek leading Biscuits &amp; Bakery company Ε.J. PAPADOPOULOS S.A.&nbsp; is seeking to employ a talented, driven &amp; committed: Research &amp; Development Sensory Technologist &nbsp;to join the R&amp;D team in Athens&nbsp;The role:&nbsp;The candidate will be part of the R&amp;D Sensory team, reporting to R&amp;D Sensory &amp; Pilot Manager, participating in all the activities related to sensory tests, panel management, data analysis, and presentation of sensory results that help to guide R&amp;D project teams and other internal collaborators.Key Responsibilities:<ul><li>Design and execute sensory evaluation studies</li><li>Prepare samples according to standardized protocols</li><li>Coordinate and support sensory panels during testing sessions</li><li>Perform statistical analysis using statistical software</li><li>Generate concise, informative reports and/or verbally present complex technical information to technical and non-technical audiences.</li><li>Maintain sensory lab organization, materials and documentation.</li><li>Develop and optimize sensory testing methodologies and protocols</li><li>Train and manage sensory panels</li><li>Product development and sample preparation for panel training</li><li>Collaborate cross- functionally with R&amp;D, Marketing, and Quality teams</li><li>Staying current with literature and information about sensory evaluation</li><li>Stay up to date with industry trends and innovations in sensory science</li></ul>&nbsp;Qualifications:<ul><li>Preferably 1-4 years of experience, in sensory evaluation preferably in a food company</li><li>Bachelor’s degree in food science or a related field</li><li>Master’s degree in Sensory Science or a related discipline (preferred)</li><li>Demonstrated knowledge and experience of Sensory and Consumer testing methodologies including descriptive analysis- panel moderating- discrimination testing- consumer research- questionnaire design- data analysis and interpretation.</li><li>Developed soft skills required for effective data, analysis, presentation and business influence based on results</li><li>Proficiency in statistical tools (e.g. XLSTAT)</li><li>Fluent in English</li><li>Time management and organizational skills</li><li>Able to multitask- work alone and in a team</li><li>Solid verbal, written, and interpersonal communication skills&nbsp;</li><li>Self-discipline, ability to work under pressure and meet deadlines</li><li>High degree of personal and professional ethics and integrity&nbsp;</li></ul>&nbsp;&nbsp;

Research & Development Sensory Technologist

We are searching for a&nbsp;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Software Engineer Remote

We are searching for a&nbsp;Lead Data Software Engineer&nbsp;to join our team and oversee the development of our cutting-edge supply-chain data analytics platform.This platform delivers a comprehensive view of suppliers, products, material categories, shipments, and compliance activities while employing artificial intelligence to generate insights and recommendations tailored to our clients’ needs.If this role excites you – apply!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines utilizing Databricks and external orchestrators such as Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Develop system-level improvements and components for data engineering workflows</li><li>Optimize the performance and scalability of data-intensive applications</li><li>Adhere to software engineering standards, including containerization, unit testing, linting, and code style reviews</li><li>Maintain and improve data workflow, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and leadership to the data engineering team</li><li>Engage with clients and stakeholders to understand their requirements and offer customized solutions</li><li>Tackle challenges independently and ensure successful project delivery</li></ul>Requirements<ul><li>Experience leading data engineering efforts on projects utilizing Databricks</li><li>Solid understanding of data architectures and skills in data modeling</li><li>Background in designing and building ETL pipelines in Databricks with external orchestrators such as Airflow</li><li>Hands-on expertise in Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Proficiency in Python and cloud-native technologies</li><li>Competency in Spark/PySpark</li><li>Engineering experience with either AWS or Azure</li><li>Knowledge of big data and techniques for optimizing data-intensive applications</li><li>Strong communication skills with a proactive attitude and client-facing experience</li><li>Ability to navigate ambiguity and complete projects independently</li><li>Comfort working in a dynamic and transparent startup environment</li><li>Fluent English communication skills at a C1 level</li></ul>Nice to have<ul><li>Proficiency in configuring and managing CI/CD pipelines in Azure DevOps</li><li>Familiarity with Data Observability and Data Quality Monitoring practices</li><li>Capability to integrate data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Software Engineer (Databricks)

As a Rewards Specialist, you will support the design, implementation, and administration of fixed and variable remuneration processes, ensuring alignment with the Bank’s total rewards strategy, organizational goals, and regulatory requirements.What you will be doing&nbsp;<ul><li>Maintain and administer salary ranges and compensation structures to support internal equity and market competitiveness</li><li>Support the preparation of reports and materials related to annual salary review and salary adjustment processes, ensuring timely and accurate execution</li><li>Coordinate with benefits providers to ensure adherence to service level agreements and resolve operational issues when required</li><li>Participate in salary surveys, collect and analyze compensation data, and prepare recommendations regarding salary and benefits structures</li><li>Support the implementation and administration of bonus schemes and Long-Term Incentive (LTI) programs, ensuring alignment with performance and strategic objectives</li><li>Prepare benchmarking analyses, reports, and remuneration-related data to assess the effectiveness of variable remuneration schemes</li><li>Support internal communication activities related to compensation programs, enhancing employee understanding and engagement</li><li>Monitor processes related to variable remuneration to ensure compliance with internal policies and external regulatory requirements</li><li>Assist in the preparation of materials, reports, and presentations for the Remuneration Committee</li><li>Stay informed on regulatory developments and market trends related to compensation and benefits, contributing to alignment and compliance initiatives</li></ul>&nbsp;&nbsp;What you need to have&nbsp;<ul><li>A Bachelor’s degree in Business Administration, Finance, Analytics/Mathematics, or a related field</li><li>A Master’s degree in a related field (preferred)</li><li>A minimum of four (4) years of professional experience in Finance, Rewards, or Consulting</li><li>Strong knowledge of compensation and benefits management, HR data analysis, reporting, and remuneration processes</li><li>Strong planning and organizing skills, with attention to detail and analytical thinking in handling compensation-related data and processes</li><li>Strong communication, collaboration, and stakeholder management skills to effectively coordinate with internal and external parties</li><li>Strong critical thinking skills and ability to support data-driven compensation and rewards decisions</li></ul>&nbsp;&nbsp;What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community</li><li>Flexible working options</li><li>A competitive salary and benefits</li></ul>&nbsp;

Rewards Specialist

The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across 21 countries can order their groceries and have them delivered to their doorstep at lightspeed! Reporting to the General Manager of Wolt Market Greece, the Category Manager is responsible for building and managing the assortment and trading plan, including pricing and promotions. The role also involves developing strong relationships with suppliers and taking full ownership of category performance across assigned categories in the Greek market.The Category Manager works closely with Wolt Market stores to ensure the right assortment on every location, Content team, and Supply Chain to ensure that there is always stock. The person also works with retail partners to ensure constant optimisation of trading performance. Other key stakeholders include operations, marketing, and data teams to define and develop all necessary reporting, data models, tools and products to drive category performance in local stores. You’ll get a lot of help and support on the way, but are also expected to be an amazing independent manager with an exceptional ability to execute every single day.&nbsp;What you’ll be doing:<ul><li>Having full ownership of assigned category performance, including forecasting, monitoring, reporting on the business.&nbsp;</li><li>Contributing to driving projects and trading strategy to achieve business goals.</li><li>Defining and continuously updating Wolt Market’s assortment at a store level to meet customer needs and optimise order economics.</li><li>Leading effective negotiations with suppliers to establish joint goals, improve cost structure, and sustainably grow the P&amp;L.</li><li>Influencing the design of the categories, as well as contributing to new product groups and improving the customer experience to deliver growth.</li><li>Creating business plans for new opportunities and developing and executing project plans for the launch of new features, incorporating merchandising and pricing strategies.</li><li>Working cross-functionally with counterparts across in-stock management, marketing, finance, and retail systems to operate and grow the business.</li><li>Continually improving and automating manual processes to enable the team to scale better as the business grows.</li></ul>Our humble expectations:<ul><li>Three (3) years of solid experience in category management, with a proven track record of delivering results.</li><li>Experience in non-food categories is a strong plus</li><li>Background in online grocery, traditional grocery retail, or e-commerce, ideally in fast-paced or scaling environments.</li><li>Strong communication skills and experience in negotiating with both internal and external stakeholders.</li><li>Excellent analytical skills.</li><li>Ability to think both strategically and operationally, with strong attention to detail.</li><li>Professional English and Greek is a must</li></ul>

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