{"id":4060711,"url":"https://alion.io/job/endava-senior-data-analyst-21","title":"Senior Data Analyst","company":{"id":6702,"name":"Endava","domain":"endava.com","url":"https://alion.io/company/endava","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-11T07:18:10Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T11:16:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.\nBy combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.\nFrom prototype to real-world impact - be part of a global shift by doing work that matters.\nOur data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.\n Work across a variety of industries and projects, acting as the bridge between business stakeholders and data engineering teams to translate business needs into scalable data solutions.\nResponsabilities:\nLead Data Discovery activities to understand business objectives, processes, and data requirements. \nElicit, analyze, document, and manage business, functional, non-functional, and data requirements. \nAssess data sources and existing data architectures, identifying opportunities for improvement and optimization. \nPerform data profiling and data quality assessments, identifying issues and proposing remediation actions. \nDesign conceptual and logical data models and document data lineage, data dictionaries, and source-to-target mappings. \nDefine requirements for data ingestion, transformation, validation, and ETL/ELT processes. \nTranslate business needs into clear functional specifications, business rules, and acceptance criteria. \nEnsure end-to-end requirements traceability throughout the project lifecycle. \nAct as the liaison between business stakeholders and technical teams, ensuring successful delivery of data and analytics solutions. \nCollaborate within Agile teams, supporting backlog refinement, sprint planning, and solution validation activities.\nKey Qualifications:\nExperience gathering, analyzing, and documenting business and data requirements, including gap and impact analysis.\nExperience analyzing datasets, identifying data quality issues, validating information, and investigating discrepancies.\nGood understanding of relational and dimensional data modelling, including entities, relationships, fact and dimension tables.\nGood SQL knowledge, including joins, aggregations, subqueries, and basic window functions.\nFamiliarity with data warehouses, data lakes, Lakehouse, and basic ETL/ELT concepts.\nUnderstanding of how data moves between systems, including data mapping, transformations, and basic API concepts.\nBasic understanding of data lineage, metadata, data ownership, and data protection principles.\nExperience with Power BI, Tableau, or similar reporting tools, including KPI definitions and dashboard development.\nExperience working in Agile teams and collaborating with business stakeholders, Product Owners, Developers, and Data Engineers.\nAbility to investigate issues, communicate findings, clarify requirements, and work independently.\nExcellent written and verbal communication skills in English, with the ability to communicate effectively with technical teams and business stakeholders.\nNice to Have:\nCloud experience : AWS , Azure, data platforms: Snowflake, Databricks.\nBasic Python knowledge for data analysis.\nFamiliarity with AI-assisted analytical tools.\nExposure to data migration or data transformation projects.\n At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives-because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. 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