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We are seeking a Business Analyst in the Retail domain to join our dynamic team, serving as a vital connection between Store Operations, Franchise business stakeholders, and technology delivery teams.This role involves managing business requirements for store technology solutions using Agile methodologies to ensure efficient and value-driven delivery.Office location: Gerakas, Athens.On-site presence: 2-3 days per week.Responsibilities<ul><li>Act as the primary liaison between Store Operations and product/technology teams</li><li>Facilitate discovery sessions including requirement workshops</li><li>Elicit, analyze, and document business requirements related to store operations processes and technology platforms</li><li>Collaborate with stakeholders to define clear problem statements, desired outcomes, and acceptance criteria</li><li>Support technology solutions such as Store Backoffice, Electronic Shelf labels, SAP for stores and tailor-made solutions</li><li>Identify process and system improvement opportunities that improve throughput, accuracy, labor efficiency, and service levels</li><li>Assess operational impacts of new features and support change management activities</li><li>Support User Acceptance Testing (UAT) by developing test scenarios, validating outcomes, and coordinating defect resolution</li><li>Ensure solutions meet both functional and non-functional business requirements</li><li>Use Jira to manage requirements, user stories, defects, and backlog prioritization</li><li>Use Confluence to document business processes, functional requirements, solution designs, and decision logs</li><li>Maintain clear, traceable documentation that supports transparency and cross-team alignment</li><li>Provide clear communication of status, risks, dependencies, and trade-offs to stakeholders</li></ul>Requirements<ul><li>Bachelor’s degree in Business, Information Systems, or a related field</li><li>2–4 years of experience as a Business Analyst or Product Analyst</li><li>Strong experience using Atlassian tools, particularly Jira and Confluence</li><li>Solid understanding of software development life cycle (SDLC) and Agile methodologies</li><li>Proven experience translating business requirements into Agile product artifacts</li><li>Ability to work effectively in cross-functional teams</li><li>Strong written and verbal communication skills</li><li>Ability to operate effectively in a fast-paced, iterative product environment</li></ul>We offer/BenefitsFor your comfortable work:<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>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>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>

Business Analyst (Retail domain)

KLDiscovery offers a fantastic opportunity for you to use your talents to make a meaningful impact in a fast-paced, growing technology and services organization! &nbsp;KLDiscovery is a global leader in eDiscovery, compliance, and data management solutions, empowering law firms, corporations, and government agencies to tackle their most complex legal and regulatory challenges.We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning.&nbsp;&nbsp;Work Status: Remote, work from home opportunity.&nbsp;Is This Role For You?&nbsp;The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and monitoring the performance of machine learning models.&nbsp;A Day in The Life<ul><li>Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.</li><li>Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.</li><li>Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.</li><li>Conduct research, provide recommendations, and implement best practices in data science and data engineering.</li></ul>&nbsp;Driving Career Growth, Benefit Excellence: The KLD AdvantageAt KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is £50,000 to £65,000.<ul><li>This position is 100% remote, and we offer a high-performance laptop computer, options for wireless headset or external speaker, up to two 24" 2K monitors, and a mobile phone for business use.</li><li>Life assurance</li><li>Private Medical Health Cover (currently with BUPA)</li><li>Group Income Protection</li><li>25 days annual leave</li><li>Contributory pension after completion of three months’ service and the option to join the Workplace Pension in line with statutory rules</li><li>Flexible Benefits including Season Ticket Loans and Ride 2 Work.</li><li>Buy and sell up to 5 days of Holiday per year</li><li>Roll over 5 days of Holiday per year</li><li>Competitive salary (including bonuses and/ or team incentives) and benefits package</li><li>Refer a friend, earn a bonus!</li><li>Career progression and training opportunities</li></ul>&nbsp;What You Will Bring To The Role<ul><li>3+ years developing production Python code with demonstrated proficiency in code review practices, unit testing (pytest, unittest), and maintaining codebases &gt;10K lines</li><li>Strong CI/CD pipeline experience using Git, Azure DevOps/GitHub, Docker</li><li>Hands-on experience building and maintaining ML pipelines including ETL processes, data versioning and model deployment</li><li>Experience with modern ML frameworks: PyTorch or TensorFlow for model development, scikit-learn for classical ML</li><li>Working knowledge of LLM deployment patterns including prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and fine-tuning approaches</li><li>Proficiency with NLP libraries: Hugging Face Transformers, spaCy, or LangChain</li><li>Experience managing datasets &gt;1TB and implementing data quality validation frameworks</li><li>Cloud platform experience (Azure preferred) including compute, storage, and managed ML services</li><li>Familiarity with model quantization, optimization techniques (ONNX, TensorRT), and cost-efficient inference strategies</li><li>Experience leveraging AI Code Assistants/Agents like Claude Code</li></ul>&nbsp;Business Travel &amp; Flexibility Requirements<ul><li>This position requires the individual to be flexible to our client and team needs for out-of-hours work and weekend work where applicable.&nbsp;</li></ul>&nbsp;Highly Valued Skills<ul><li>Vector database implementation (Pinecone, pgvector) with experience scaling to millions of embeddings</li><li>Production experience with embedding models (OpenAI, Cohere, sentence-transformers) and semantic search systems</li><li>Modern Python practices: type hints, async/await, pydantic</li><li>Experience using AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) to accelerate development workflows</li><li>SQL expertise (PostgreSQL) including query optimization and database design</li><li>Experience with model monitoring, A/B testing frameworks, and performance tracking in production</li><li>Agentic AI patterns and multi-step reasoning systems</li><li>C# for integration with existing .NET systems</li><li>eDiscovery, legal tech, or document processing domain knowledge</li></ul>&nbsp;Professional Capabilities<ul><li>Clear technical communication with both technical and non-technical stakeholders</li><li>Self-directed problem-solving with ability to scope and deliver projects independently</li><li>Collaborative approach to code review and knowledge sharing</li><li>Detail-oriented with strong testing discipline</li></ul>&nbsp;Education<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field (Master's preferred)</li><li>Equivalent professional experience considered</li></ul>&nbsp;Language<ul><li>English fluency (written and verbal)</li></ul>&nbsp;

Θέσεις Εργασίας Εργάτης Ελλάδα, Πληροφορική

business analyst (retail domain)

EPAM Global

ai engineer

KLDiscovery

Jobily.gr

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