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Τάσεις Μισθών 2025

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Εξειδικεύσεις και Καριέρα

Are you passionate about turning data into real business opportunities? We’re looking for a Data Analyst&nbsp;who will analyze customer data from our CRM system and translate insights into actionable business opportunities.Your contribution to the success of the team<ul><li>Analyze customer data from the CRM database to identify trends, patterns, and opportunities</li><li>Generate reports highlighting potential sales opportunities, customer behavior, and market insights</li><li>Evaluate qualitative and quantitative data to support decision-making</li><li>Support segmentation, targeting, and campaign analysis initiatives</li><li>Collaborate with marketing teams to propose and optimize targeted campaigns</li><li>Monitor campaign performance and suggest improvements based on data analysis</li></ul>Your Qualifications &amp; Skills<ul><li>Bachelor’s or Master’s degree in Statistics, Mathematics, Data Analysis, Business Analytics, or a related quantitative field</li><li>2+ years of experience in data analysis, database management, or similar role</li><li>Strong hands-on experience with CRM systems, as well as advanced knowledge of Microsoft Power BI (familiarity with other BI tools is considered a plus)</li><li>Advanced proficiency in Microsoft Excel</li><li>Ability to present data in a clear and meaningful way</li><li>Excellent analytical and problem-solving skills</li><li>Detail-oriented and proactive, with a strong ability to translate data into actionable insights.</li><li>Ability to work independently and as part of a team</li></ul>Nice to Have:<ul><li>Experience in marketing analytics</li><li>Familiarity with reporting tools and dashboards</li></ul>Your Benefits:We are growing our team with the vision of having top performers who contribute directly to the growth of the company. As a result, we offer:💰Competitive remuneration package❤️Private health insurance plan🏠Hybrid working model💯Opportunity to work alongside people who are always eager to mentor🚍Transportation with company’s bus from central stations📖 Funded training &amp; development opportunities🥪Catering food services

Data Analyst

Scorpios is looking for a Data Analyst who will have the accountability of performing analytical procedures in all Revenue streams and Cost centers. The successful applicant will hold a strategic role within Scorpios overseeing daily operations, safeguarding assets and enhancing internal controls.Opportunities For All&nbsp;Scorpios was created to bring diverse communities of people together, and we take the same approach when building our teams. We thrive on differences and believe it is critical to our success as a global company. Scorpios is proud to be an equal opportunity workplace that seeks to recruit, develop and retain the most talented people from a variety of backgrounds, perspectives, and skills. We therefore encourage applications from all genders, races, religions, ages and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business.&nbsp;Responsibilities&nbsp;<ul><li>Extract data from primary and secondary sources</li><li>Remove corrupted data and fix errors and related problems</li><li>Develop and maintain databases and data systems in general</li><li>Reorganize data in readable and presentable format</li><li>Perform analysis to assess quality and meaningful data</li><li>Filter data by reviewing reports and KPIs</li><li>Use statistical tools to identify, analyze and interpret patterns and trends</li><li>Assign numerical values to essential business functions so that business performance can be assessed and compared over periods of time</li><li>Analyze local, national, and global trends that may impact both the organization and the industry</li><li>Prepare reports for the management, states trends, patterns and predictions using relevant data</li><li>Work closely with programmers, engineers, and management heads and identify process improvements, opportunities, propose system modifications and advise data governance strategies</li><li>Prepare final analysis reports for the stakeholders</li><li>Ad hoc analysis on subject matters</li><li>General support of strategic decision making</li></ul>&nbsp;&nbsp;Requirements&nbsp;<ul><li>Working experience in an analytical role for 1 to 3 years in either business analysis or financial analysis or relevant role</li><li>Bachelor in an analytical field</li><li>Post Graduate studies in an analytical or IT field are a considerable asset</li><li>Proficient Knowledge in Structure Query Language (SQL)</li><li>Good knowledge of R or Python statistical programming</li><li>Proficient knowledge of Microsoft Excel</li><li>Good knowledge of Data Visualization tools</li><li>Very good presentation skills</li><li>Very good knowledge of English language.</li><li>European Union Nationality with available working permission</li></ul>&nbsp;Benefits:&nbsp;Scorpios offers a competitive salary with career development opportunities, based on the candidate's qualifications and skills. By joining our team, you will have the opportunity to work in a stimulating and motivating environment which values diversity and is committed towards its employees.Scorpios offers a permanent working contract.

Are you excited about using advanced analytics to unlock real value from retail customer data?&nbsp;You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.&nbsp;Your day to day will include:<ul><li>Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers</li><li>Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable</li><li>Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact</li><li>Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution</li><li>Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources</li><li>Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs</li><li>Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans</li><li>Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes</li><li>Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights</li><li>Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)</li></ul>&nbsp;What you need to succeed:&nbsp;<ul><li>BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus</li><li>Experience in data mining and big data analysis within complex environments</li><li>Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)</li><li>Solid understanding of statistical models and advanced analytical techniques</li><li>Proficiency in data visualization tools (Power BI, Tableau)</li><li>Strong analytical thinking, business acumen, and problem‑solving mindset</li><li>Proficient MS Office knowledge</li><li>Excellent command of English (written &amp; spoken)</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>Competitive salary package and bonus scheme&nbsp;💸</li></ul><ul><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li></ul><ul><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities&nbsp;💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Data Analyst (3865)

As part of the Clinical Data Sciences (CDS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Database Analyst is responsible for the programming of high-quality clinical databases and supporting assigned segments of the Pfizer portfolio. Accountabilities include the design, development, and maintenance of clinical databases, ensuring the integrity of clinical data, application of standards supporting consistency in asset/submission data.ROLE RESPONSIBILITIES&nbsp;&nbsp;<ul><li>Works closely with department roles and cross-functional study team members to create data capture solutions that support the quality and timely delivery of data required per standard and study specific data review plans&nbsp;</li></ul><ul><li>Complies with applicable SOPs and work practices&nbsp;</li></ul><ul><li>Learns Pfizer database technologies&nbsp;</li></ul><ul><li>Develops knowledge of data capture tools and methods that support the accuracy and integrity of study data&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in a Life Science, Computer Science or equivalent&nbsp;</li></ul><ul><li>Minimum of 1 years of relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency with an emphasis on building data collection and assimilation solutions&nbsp;</li></ul><ul><li>Experience in Oracle, PL/SQL, SAS, Java, relational database design and database programming skills&nbsp;</li></ul>&nbsp;PREFERRED QUALIFICATIONS&nbsp;<ul><li>Technical skills and experience using relational databases (e.g. Oracle InForm, Oracle DMW, MS SQL Server or MS Access)&nbsp;&nbsp;</li></ul><ul><li>Strong communication (written and oral), decision-making, influencing, negotiation, and project management skills&nbsp;</li></ul><ul><li>Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)&nbsp;</li></ul><ul><li>Understanding of drug development process and data operations required for the reporting of clinical trial data (e.g. data review, study reports, regulatory submissions, safety updates, etc.)&nbsp;</li></ul><ul><li>Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable</li></ul>

Associate Database Analyst, Clinical Database Management 4956612

Intellectica is recruiting a Data &amp; AI Insights Analyst on behalf of a leading pharmaceutical organization with a strong international footprint and a long-standing track record in innovation, research, and development. Based in Athens, Greece, the successful candidate will report directly to the Business Development &amp; Portfolio Manager and will play a key role in enabling data‑driven decision-making, developing predictive analytics, and supporting the gradual transition of AI capabilities from external partners to an in‑house model.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Play a key role in driving data- and AI-powered decision-making within a growing, internationally active business environment</li><li>Act as a consultative partner on AI-related initiatives, proactively identifying opportunities, proposing use cases, and contributing ideas for the adoption and optimization of AI solutions across the department</li><li>Partner with stakeholders to analyze business cases and translate data into clear, actionable insights</li><li>Conduct market and geographical analyses using statistical and external datasets, identifying trends, competitive dynamics, and growth opportunities</li><li>Support strategic decisions on market expansion, investment priorities, and portfolio development through data-driven recommendations</li><li>Perform historical and exploratory analyses to assess market potential and business viability</li><li>Leverage and evaluate AI tools to enhance analytics capabilities and business outcomes</li><li>Develop and support predictive models and forecasting approaches, exploring solutions for complex business prediction challenges</li><li>Structure and optimize data for analytics, supporting the transition to in-house AI capabilities and the development of internal AI-driven applications and solutions</li><li>Prepare and deliver clear, insightful presentations of data and analytical findings to senior management, supporting strategic decision-making; translate complex analytical outputs into business-friendly narratives tailored to non-technical stakeholders</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>University degree in Computer Science, Mathematics, Statistics, Information Technology, Engineering or related field; a Master’s degree in a relevant field (e.g. AI, Data Science, Analytics, Economics, Statistics)</li><li>Up to 5 years of experience in Data Analytics, Data Science, or Business/Commercial Analytics, with proven exposure to data-driven decision-making</li><li>Experience in the pharmaceutical or healthcare industry will be considered a strong plus</li><li>Proficiency in Excel; solid understanding of statistical analysis and data analytics methodologies</li><li>Experience working with large and complex datasets, as well as data visualization tools will be considered an asset</li><li>Strong familiarity with modern AI tools and a genuine interest in exploring and applying emerging AI technologies in practice</li><li>Basic understanding of business strategy, market dynamics, and financial concepts will be considered an advantage</li><li>Familiarity with predictive analytics and forecasting techniques is considered a strong plus</li><li>Fluent in Greek and English (written and verbal), with the ability to engage effectively with stakeholders across all levels of the organization</li></ul>&nbsp;Core competencies of a successful candidate:&nbsp;<ul><li>Strong analytical and critical thinking skills with a structured approach to problem-solving</li><li>Proactive, hands-on attitude with a strong sense of ownership and accountability</li><li>Consultative mindset with the ability to identify opportunities and propose practical solutions</li><li>Collaborative team player with strong interpersonal skills and a positive, adaptable approach</li></ul>

Data & AI Insights Analyst

As a Card Business Data &amp; Planning Sr. Specialist, you will use advanced data analysis, reporting, and governance practices to generate actionable insights, ensure compliance, and enhance operational efficiency. You’ll directly support executive decision‑making and drive key strategic initiatives within the card acquiring sector.&nbsp;What your day to day will include:<ul><li>Managing timely, accurate and comprehensive regulatory reporting to the Central Bank, including Blue‑Book submissions, while ensuring full compliance with financial regulations</li><li>Preparing and presenting compelling data insights and strategic recommendations to upper Management, influencing key business decisions through effective data storytelling and analytical rigor</li><li>Analyzing complex business challenges and discrepancies across various services—particularly within acquiring processes—and identifying effective resolutions</li><li>Staying up to date with industry trends and best practices in business and data analysis, proposing relevant initiatives</li><li>Responding to ad‑hoc assignments related to the role’s scope, addressing business needs requiring flexibility, problem‑solving, and cross-functional collaboration</li><li>Identifying and resolving data discrepancies, supporting forecasting updates and budget performance tracking, and preparing business presentations and management reports</li><li>Collaborating with Operations, Finance, Commercial, and Data teams on data validation and insight generation</li></ul>&nbsp;What you’ ll bring:<ul><li>BSc in Business, Data Science, Economics, or related quantitative field</li><li>MSc or relevant certifications (e.g., Data Analytics, BI, Power BI, SQL, Python) considered a plus</li><li>Proven experience in data analysis, business intelligence, and regulatory reporting, ideally within financial services or other highly regulated environments</li><li>Strong proficiency in Power BI (dashboard design, DAX, data modeling) and familiarity with SQL querying; basic exposure to data governance platforms</li><li>Excellent analytical, conceptual, and business-thinking skills, with the ability to translate complex data into clear insights</li><li>Strong verbal and written communication abilities, capable of presenting technical findings to diverse audiences</li><li>Excellent command of MS Office (particularly Excel &amp; PowerPoint) and fluency in Greek and English</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment 🚀</li><li>Competitive salary package and bonus scheme 💸</li><li>Health insurance coverage &amp; Pension Plan 🙏</li><li>State of the art facilities including gym &amp; restaurant 🏢</li><li>Hybrid working model 💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy 🎓</li><li>Internal Career Opportunities 💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities 💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Business Planning Sr. Analyst (3927)

Ο Αναλυτής Δεδομένων συλλέγει, επεξεργάζεται και ερμηνεύει μεγάλα σύνολα δεδομένων για να βοηθήσει τις επιχειρήσεις να λαμβάνουν τεκμηριωμένες αποφάσεις. Χρησιμοποιεί αναλυτικά εργαλεία και στατιστικές μεθόδους για να αναδείξει τάσεις και ευρήματα που υποστηρίζουν τον στρατηγικό σχεδιασμό. Ο ρόλος αυτός είναι καθοριστικός, προσφέροντας ευκαιρίες για εργασία με σύγχρονες τεχνολογίες και καινοτομία βασισμένη στα δεδομένα.

A Data Analyst collects, processes, and interprets large datasets to help organizations make informed business decisions. They use analytical tools and statistical techniques to identify trends, patterns, and insights that drive strategic planning. This role is essential, offering opportunities to work with cutting-edge technologies and contribute to data-driven innovation.

Alpha Bank

ΟΠΑΠ

ENTERSOFTONE

Intellectica

efood

Scorpios

Μελέτη των υπολογιστικών συστημάτων, προγραμματισμού, αλγορίθμων και ανάπτυξης λογισμικού.

Study of computational systems, programming, algorithms, and software development.

Μελέτη των αριθμών, ποσοτήτων, σχημάτων και των σχέσεών τους μέσω αφηρημένης σκέψης και λογικής συλλογιστικής.

Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.

Μελέτη μεθόδων και εργαλείων για την ανάλυση δεδομένων με σκοπό τη λήψη αποφάσεων και την εξαγωγή συμπερασμάτων.

Study of methods and tools to analyze data for decision making and insights.

Μελέτη της συλλογής, ανάλυσης, ερμηνείας και παρουσίασης δεδομένων για τη λήψη ενημερωμένων αποφάσεων.

Study of data collection, analysis, interpretation, and presentation to make informed decisions.

Περιοχές μελέτης που επικεντρώνονται στην ποσοτική ανάλυση, τα μαθηματικά, τη στατιστική και τη μοντελοποίηση δεδομένων.

Study areas focused on quantitative analysis, mathematics, statistics, and data modeling.

Μελέτη τεχνικών συλλογής, επεξεργασίας και ερμηνείας δεδομένων για τη λήψη αποφάσεων.

Study of techniques for collecting, processing, and interpreting data to inform decisions.

Μελέτη της εφαρμογής επιστημονικών αρχών για το σχεδιασμό, την κατασκευή και τη συντήρηση κατασκευών και μηχανών.

Study of applying scientific principles to design, build, and maintain structures and machines.

Μελέτη μεθόδων ανάλυσης, ερμηνείας και εξαγωγής γνώσης από δεδομένα χρησιμοποιώντας στατιστικές και υπολογιστικές τεχνικές.

Study of methods to analyze, interpret, and extract knowledge from data using statistical and computational techniques.

Η μελέτη της παραγωγής, διανομής και κατανάλωσης αγαθών και υπηρεσιών και η ανάλυση των οικονομικών συστημάτων.

Study of production, distribution, and consumption of goods and services and the analysis of economic systems.

Μελέτη τεχνικών και εργαλείων ανάλυσης δεδομένων για την υποστήριξη λήψης επιχειρηματικών αποφάσεων και στρατηγικής.

Study of data analysis techniques and tools to support business decision-making and strategy.

Κατανόηση της διαχείρισης χρημάτων, επενδύσεων και οικονομικού προγραμματισμού.

Understanding of managing money, investments, and financial planning.

Ικανότητα χρήσης λογισμικών εργαλείων για τη δημιουργία, διαχείριση και παρουσίαση επιχειρηματικών αναφορών και οπτικοποιήσεων δεδομένων.

Ability to use software tools to create, manage and deliver business reports and data visualizations.

Η πρακτική της μέτρησης, διαχείρισης και ανάλυσης της απόδοσης του μάρκετινγκ για μεγιστοποίηση της αποτελεσματικότητας και βελτιστοποίηση της απόδοσης της επένδυσης.

The practice of measuring, managing, and analyzing marketing performance to maximize its effectiveness and optimize return on investment.

Η ικανότητα να αναγνωρίζονται, αξιολογούνται και ιεραρχούνται οι κίνδυνοι για τη μείωση των αρνητικών επιπτώσεων στους επιχειρησιακούς στόχους.

The ability to identify, assess, and prioritize risks to minimize the impact on business objectives.

Η ικανότητα συλλογής, ανάλυσης και παρουσίασης επιχειρησιακών δεδομένων για τη λήψη αποφάσεων.

The ability to collect, analyze, and present business data to support decision-making.

Η διαδικασία εξέτασης συνόλων δεδομένων για να εξαχθούν συμπεράσματα σχετικά με τις πληροφορίες που περιέχουν.

The process of examining data sets to draw conclusions about the information they contain.

Εμπειρία στον τραπεζικό τομέα, συμπεριλαμβανομένης της γνώσης χρηματοοικονομικών υπηρεσιών και κανονισμών.

Experience working in the banking industry including knowledge of financial services and regulations.

Ικανότητα χρήσης εργαλείων Επιχειρηματικής Ευφυΐας όπως το Power BI και το Tableau για οπτικοποίηση και ανάλυση δεδομένων.

Proficiency in Business Intelligence tools like Power BI and Tableau for data visualization and analysis.

Γνώση και εμπειρία στη φαρμακευτική βιομηχανία, περιλαμβάνοντας κανονισμούς, παραγωγή και πρότυπα ποιότητας.

Knowledge and experience working within the pharmaceutical industry, including regulations, production, and quality standards.

Προχωρημένος ακαδημαϊκός τίτλος που απονέμεται μετά την ολοκλήρωση μεταπτυχιακών σπουδών σε συγκεκριμένο τομέα.

An advanced academic degree awarded after completing graduate-level coursework in a specific field.

Εμπειρία στη γλώσσα δομημένων ερωτημάτων για τη διαχείριση και ερώτηση σχεσιακών βάσεων δεδομένων.

Proficiency in Structured Query Language for managing and querying relational databases.

Ικανότητα στη χρήση του Microsoft Power BI για επιχειρηματική ανάλυση και οπτικοποίηση δεδομένων.

Proficiency in Microsoft Power BI for business analytics and data visualization.

Ικανότητα προγραμματισμού στη γλώσσα Python για ανάπτυξη λογισμικού, αυτοματοποίηση και ανάλυση δεδομένων.

Proficiency in Python programming language for software development, automation, and data analysis.

Ικανότητα εξέτασης, καθαρισμού, μετασχηματισμού και μοντελοποίησης δεδομένων για την ανακάλυψη χρήσιμων πληροφοριών και τη στήριξη της λήψης αποφάσεων.

Ability to examine, clean, transform, and model data to discover useful information and support decision-making.

Ικανότητα συστηματικής ανάλυσης πληροφοριών και επίλυσης σύνθετων προβλημάτων με λογική σκέψη.

Ability to systematically analyze information and solve complex problems using logical reasoning.

Εμπειρία στο πακέτο Microsoft Office που περιλαμβάνει Word, Excel, PowerPoint και Outlook για αυξημένη παραγωγικότητα στο γραφείο.

Proficiency in Microsoft Office suite including Word, Excel, PowerPoint, and Outlook for office productivity.

Επάρκεια στο λογισμικό υπολογιστικών φύλλων Microsoft Excel για ανάλυση δεδομένων και αναφορές.

Proficiency in Microsoft Excel spreadsheet software for data analysis and reporting.

Ικανότητα να επικοινωνείτε αποτελεσματικά πληροφορίες και ιδέες σε ένα κοινό χρησιμοποιώντας λεκτικές και οπτικές μεθόδους.

Ability to effectively communicate information and ideas to an audience using verbal and visual methods.

Ικανότητα να παρουσιάζονται δεδομένα οπτικά μέσω γραφημάτων, διαγραμμάτων και πινάκων για καλύτερη κατανόηση.

Ability to represent data visually using charts, graphs, and dashboards to facilitate understanding.

Εμπειρία στη γλώσσα προγραμματισμού R για στατιστικό υπολογισμό και γραφικά.

Proficiency in R programming language used for statistical computing and graphics.

Ικανότητα να συνεργάζεται αποτελεσματικά με άλλους για την επίτευξη κοινών στόχων.

Ability to collaborate effectively with others to achieve common goals.

Ικανότητα συστηματικής ανάλυσης προβλημάτων και πληροφοριών για την λήψη τεκμηριωμένων αποφάσεων.

Ability to systematically break down problems and analyze information to make informed decisions.

Ευσυνειδησία στην ολοκλήρωση εργασιών με ακρίβεια και λεπτομέρεια.

Thoroughness in completing tasks with accuracy and precision.

Ικανότητα να αναλαμβάνει πρωτοβουλίες και να ενεργεί προληπτικά για μελλοντικά προβλήματα ή ευκαιρίες.

Ability to take initiative and act in anticipation of future problems or opportunities.

Ικανότητα να μεταδίδεται πληροφορία με σαφήνεια και αποτελεσματικότητα προφορικά και γραπτά.

Ability to convey information clearly and effectively in verbal and written form.

Ικανότητα εντοπισμού προβλημάτων και ανάπτυξης αποτελεσματικών λύσεων με αποδοτικότητα.

Ability to identify issues and develop effective solutions efficiently.

Ικανότητα αξιολόγησης πληροφοριών και καταστάσεων με λογικό τρόπο για τη λήψη τεκμηριωμένων αποφάσεων.

Ability to assess information and situations logically to make informed decisions.

Ικανότητα να προσαρμόζεται αποτελεσματικά σε νέες συνθήκες και αλλαγές στο εργασιακό περιβάλλον.

Ability to adjust effectively to new conditions and changes in the work environment.

Ικανότητα ολοκλήρωσης εργασιών και λήψης αποφάσεων χωρίς συνεχή επίβλεψη.

Ability to complete tasks and make decisions without relying on constant supervision.

Αφοσίωση στη διατήρηση υψηλών προτύπων και στην παροχή άριστων αποτελεσμάτων.

Dedication to maintaining high standards and delivering excellent outcomes.

Data Analyst Jobs in Attica | Information Technology / IT

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Required Skills

SQL

Power BI

Python

Data Analysis

Analytical skills

Microsoft Office

Additional Skills & Traits

Finance

Reporting Tools

Teamwork

Analytical Thinking

Educational Background

Computer Science

Mathematics

Data Analytics

Statistics

Data Analyst Jobs - Attica

Data Analyst

Data Analyst

Data Analyst (3865)

Associate Database Analyst, Clinical Database Management 4956612

Data & AI Insights Analyst

Business Planning Sr. Analyst (3927)

Seniority Distribution

Experience Required

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