{"id":3697937,"url":"https://alion.io/job/serco-data-analyst","title":"Data Analyst","company":{"id":1779743,"name":"Serco","domain":"serco.com","url":"https://alion.io/company/serco-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":27,"ghost_share":0,"stale_share":0.037,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ispra, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Jira","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Python","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SharePoint","optional":false}],"status":"live","first_seen_at":"2026-11-03T18:39:08Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T15:19:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Package Description\nJoining Serco amazing team offers:\nCompetitive Salary\nGreat career opportunities\nCorporate Benefits Package\nInternational environment\nPossible hybrid work\nJob Introduction\nSerco is the preferred partner for European Institutions and International Organisations, offering ICT services and Contact Centre management across Europe. Our expertise extends from Information System support to consultancy under the government framework, supporting key entities such as the European Commission and Executive Agencies. As a leader in Service Integration and Management, we ensure seamless delivery of services across various platforms, embodying our commitment to excellence in every aspect of our work.\nWe are hiring for a Data Analyst in an international organisation in Italy.\nNature of the task - Roles and responsibilities:\nService provision will take place within a large international organisation, such as the European Commission. The working environment is multicultural and multilingual, with an emphasis on strong work ethics, diligence, and responsibility. A shared commitment to common goals and operational effectiveness is essential, as is a high degree of discretion when handling personal or confidential data. The selected service providers will be required to sign the Ethics reminder and to conduct themselves accordingly during the provision of services under awarded specific contract.\nThe service provider is expected to provide data analysis services covering the end-to-end analytical workflow, from data collection, preparation and quality assurance to exploratory, quantitative and qualitative analysis, interpretation, reporting and presentation of findings, as required by the appropriate project and service managers.\nThe tasks that the service provider will be expected to perform include any or all of the following.\nCollect, compile, curate, structure and prepare data from multiple sources, including large-scale and multilingual datasets, for analytical use.\nClean, validate and quality-check datasets, applying consistency checks, source validation, classification rules and reconciliation procedures to ensure reliable analytical outputs.\nConduct exploratory, quantitative, qualitative and computational analysis to identify trends, patterns, relationships, narratives and other relevant insights.\nPerform statistical analysis, including formal statistical analysis and bivariate/co-occurrence analysis where relevant, to support evidence-based conclusions and decision-making.\nDevelop and maintain structured analytical datasets, taxonomies, annotation /classification schemes and supporting documentation for reproducible analysis.\nAdditional Responsibilities\nAnalyse textual and media data using computational text-analysis techniques, including thematic, narrative, framing, sentiment and classification approaches where appropriate.\nProduce analytical reports, briefings, visual research summaries and other reporting products that communicate key metrics, findings and trends clearly and concisely.\nApply data storytelling and visual presentation techniques to translate complex analytical findings into accessible, decision-relevant messages for senior, policy and non-technical audiences.\nCollaborate with stakeholders, researchers, analysts and technical teams to gather analytical requirements, clarify data needs and translate user needs into analytical workflows and specifications.\nDocument data sources, methodologies, analytical processes, validation steps, assumptions and findings, ensuring transparency, traceability and consistency.\nMonitor the quality and consistency of analytical outputs and contribute to validation and quality-assurance processes across projects and deliverables.\nSynthesize evidence from multiple sources and formulate actionable, evidence-based recommendations tailored to institutional and policy needs.\nContribute to technical and scientific outputs, including methodology, results and discussion sections, and support revision and consolidation of analytical deliverables.\nSupport knowledge transfer through user guidance, briefings, training or coaching on analytical tools, workflows and results, where required.\nManage assigned analytical tasks and deliverables in coordination with project teams, respecting agreed timelines, priorities and quality requirements\nKnowledge and skills\nAbility to analyse complex and large datasets, detect relevant trends and patterns, and derive robust evidence-based insights\nStrong analytical reasoning and ability to combine quantitative, qualitative and computational approaches according to the analytical question.\nAbility to ensure accuracy, consistency, traceability and integrity of data and analytical outputs through systematic validation and quality-assurance practices.\nAbility to transform analytical findings into concise, compelling and decision-oriented narratives, reports, visual summaries and recommendations.\nAbility to explain complex technical, scientific and analytical findings clearly to senior decision-makers, policy audiences and non-technical stakeholders.\nAbility to gather stakeholder needs, clarify requirements and translate them into structured analytical tasks, workflows and deliverables.\nAbility to document methodologies, data sources, assumptions, validation procedures and analysis processes clearly and consistently.\nAbility to resolve data and analytical issues pragmatically and propose actionable improvements based on evidence.\nAbility to manage analytical tasks, priorities and deliverables effectively and to work according to agreed timelines and quality requirements.\nAbility to work effectively both autonomously and as part of multidisciplinary, cross-functional and international teams.\nProactive approach to exploring new analytical methods, tools, data sources and AI-assisted techniques where they add value.\nFlexibility to adapt to new analytical platforms, methodologies and project requirements.\nExcellent interpersonal, stakeholder-management and communication skills.\nAbility to participate effectively in multilingual and multicultural working environments.\nAbility to understand, speak and write English at a professional level; additional languages are an asset.\nResults-oriented mindset with a strong focus on delivering reliable, usable and decision-relevant analytical outputs.\nSpecific Expertise:\nExperience with quantitative and qualitative analytical methods, including statistical analysis, comparative analysis, evidence synthesis and mixed-methods research.\nExperience in computational text analysis and natural language processing-related analytical workflows, including text classification, annotation, thematic analysis, framing analysis and sentiment analysis.\nExperience producing scientific, technical or analytical reports and translating complex analytical and statistical findings into clear, structured and evidence-based outputs for institutional, policy and non-technical audiences. Experience contributing to scientific or peer-reviewed research outputs is considered an asset.\nStrong knowledge of data quality practices, including source validation, accuracy and consistency checks, research quality control, dataset documentation and methodology documentation.\nExperience with data visualisation, visual research summaries and data storytelling for presenting complex findings to non-technical and institutional audiences.\nExperience with Microsoft Excel and the broader Microsoft Office suite for analysis, reporting and presentation of results.\nExperience with media-monitoring, data-analysis, text-analysis and/or annotation platforms used to explore, structure, annotate and analyse large textual or media datasets; experience with institutional-scale platforms, such as media monitoring and big data, is an asset.\nWorking knowledge of Python or equivalent analytical scripting tools is an asset for data preparation and analytical support.\nExperience with AI-assisted analytical methods and tools is an asset, particularly for text- and media-based analytical workflows.\nExperience in research, policy analysis and technical/scientific reporting, including the ability to translate analytical results into evidence-based conclusions and recommendations.\nExperience in stakeholder requirements gathering and in translating user needs into technical or analytical specifications and workflows.\nFamiliarity with collaborative work-management and documentation tools such as Jira, SharePoint and Microsoft Teams, or equivalent tools, is an asset\nCandidate Profile\nUniversity degree corresponding to Level 7 of the European Qualifications Framework (which typically corresponds to a master’s level or 5 years of higher education), and minimum 5 years of IT professional experience\nAbility to understand, speak and write English (C1)\nAt least 3 years of professional experience in the collection, curation and analysis of large-scale multilingual textual or media datasets, using quantitative, qualitative and/or computational text-analysis methods.\nAt least 3 years of professional experience in data annotation and classification, including the application of data-validation and quality-assurance procedures for analytical datasets.\nAt least 2 years of experience in media monitoring and disinformation analysis, including identifying trends, narratives, framing dimensions, persuasion techniques and information manipulation patterns\nRemuneration: Permanent Contract range: 30,000- 34,000EUR/gross per year","description_format":"text","description_chars":9527,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Hybrid 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