{"id":4028643,"url":"https://alion.io/job/inetum-senior-data-analyst","title":"Senior Data Analyst","company":{"id":3561,"name":"Inetum","domain":"inetum.com","url":"https://alion.io/company/inetum","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":79,"open_postings":522,"ghost_share":0,"stale_share":0.824,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-10T14:47:07Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T17:48:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive, and diverse work environment where creativity and collaboration thrive. We are present in 19 countries and have more than 28,000 employees worldwide.\nIf you are looking for a dynamic, innovative, and technology-driven company, Inetum is the right place for you!\n We are looking for an experienced Senior Data Analyst to join our team and play a key role in transforming data into actionable business insights. You will be responsible for developing analytical solutions, automating data processes, ensuring data quality, and supporting strategic decision-making through advanced analytics and data visualization.\nWorking closely with both business and technical stakeholders, you will act as a bridge between operational teams and IT, helping to identify opportunities for process optimization and business performance improvement.\nKey Responsibilities\nDevelop, execute, and maintain Python-based analytical models and data processing engines.\nCollect, analyze, and interpret data from multiple internal and external sources to generate business insights.\nDesign, develop, and improve analytical models, reporting solutions, and decision-support tools.\nBuild, execute, and automate ETL processes using Python and SQL to support data analytics initiatives.\nMonitor, improve, and maintain data quality standards, controls, and governance practices.\nCreate and maintain dashboards, reports, and data visualizations using tools such as Power BI or Tableau.\nDefine, track, and analyze KPIs related to business performance and the effectiveness of analytical models.\nSupport continuous improvement initiatives through process analysis and Lean methodologies.\nConduct data mining and advanced analytical studies to evaluate business performance, customer behavior, and marketing initiatives.\nProvide recommendations to business stakeholders based on data-driven insights.\nCollaborate with cross-functional teams to improve operational efficiency and business processes.\nLead analytical studies and coordinate activities involving multiple stakeholders.\nAct as a key point of contact between business divisions and IT/CIO functions.\n 6+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field.\nProven experience working with large and complex datasets in a business environment.\nExperience leading analytical initiatives and engaging with senior business stakeholders.\nTechnical Skills\nStrong proficiency in Python for data analysis, automation, and ETL development.\nAdvanced SQL skills, including complex queries and data manipulation.\nExperience with Power BI, Tableau, or similar data visualization platforms.\nSolid understanding of Data Warehousing concepts and ETL processes.\nKnowledge of statistical analysis and data modeling techniques.\nExperience with Data Mining and Business Intelligence methodologies.\nStrong understanding of data quality management and governance principles.\nAdvanced knowledge of Microsoft Office Suite, particularly Excel.\nLanguages\nFluent English (written and spoken).\nNice to Have\nExperience with Data Science and Machine Learning techniques.\nKnowledge of Lean methodologies and process optimization frameworks.\nExperience working in international and multicultural environments.\nFamiliarity with cloud-based analytics platforms and modern data architectures.\n Responsibilities at Senior Level\nProvide 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