Data Analyst

Serco Group; Ispra; Hybrid; EUR 30,000 - 34,000; Full time

Benefits offered by this job

Competitive Salary

Great career opportunities

Corporate Benefits Package

International environment

Possible hybrid work

Job summary

Serco Group in Italy is seeking a Data Analyst to join an international environment. The role involves end-to-end data analysis from collection to reporting, across multilingual datasets and policy-relevant contexts.

Hybrid work arrangements may apply, with collaboration across cross-functional teams and project managers. The successful candidate will perform statistical analyses, develop reproducible data workflows, and translate findings into actionable insights for senior decision-makers

Qualifications

• Master's degree in IT, analytics, or a related field.
• At least 5 years IT or analytics experience.
• Experience with multilingual datasets and data collection.
• Ability to translate analytical findings for policy audiences.

Responsibilities

• Collect, curate and prepare data from multiple sources for analysis.
• Perform exploratory, statistical and qualitative analyses.
• Develop reproducible datasets and taxonomies.
• Create reports and visual summaries for senior stakeholders.
• Collaborate with multidisciplinary teams across international projects.

Skills

Data analysis

Multilingual data

Statistical analysis

Data storytelling

Stakeholder communication

Education

Master's degree or equivalent

Tools

Microsoft Excel

Python

Jira

SharePoint

Job description

Package Description

Joining Serco amazing team offers:

• Competitive Salary
• Great career opportunities
• Corporate Benefits Package
• International environment
• Possible hybrid work

Job Introduction

Serco 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.

We are hiring for a Data Analyst in an international organisation in Italy.

Nature of the task - Roles and responsibilities:

Service 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.

The 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.

The tasks that the service provider will be expected to perform include any or all of the following.

• Collect, compile, curate, structure and prepare data from multiple sources, including large-scale and multilingual datasets, for analytical use.
• Clean, validate and quality-check datasets, applying consistency checks, source validation, classification rules and reconciliation procedures to ensure reliable analytical outputs.
• Conduct exploratory, quantitative, qualitative and computational analysis to identify trends, patterns, relationships, narratives and other relevant insights.
• Perform statistical analysis, including formal statistical analysis and bivariate/co-occurrence analysis where relevant, to support evidence-based conclusions and decision-making.
• Develop and maintain structured analytical datasets, taxonomies, annotation /classification schemes and supporting documentation for reproducible analysis.

Additional Responsibilities

• Analyse textual and media data using computational text-analysis techniques, including thematic, narrative, framing, sentiment and classification approaches where appropriate.
• Produce analytical reports, briefings, visual research summaries and other reporting products that communicate key metrics, findings and trends clearly and concisely.
• Apply data storytelling and visual presentation techniques to translate complex analytical findings into accessible, decision-relevant messages for senior, policy and non-technical audiences.
• Collaborate with stakeholders, researchers, analysts and technical teams to gather analytical requirements, clarify data needs and translate user needs into analytical workflows and specifications.
• Document data sources, methodologies, analytical processes, validation steps, assumptions and findings, ensuring transparency, traceability and consistency.
• Monitor the quality and consistency of analytical outputs and contribute to validation and quality-assurance processes across projects and deliverables.
• Synthesize evidence from multiple sources and formulate actionable, evidence-based recommendations tailored to institutional and policy needs.
• Contribute to technical and scientific outputs, including methodology, results and discussion sections, and support revision and consolidation of analytical deliverables.
• Support knowledge transfer through user guidance, briefings, training or coaching on analytical tools, workflows and results, where required.
• Manage assigned analytical tasks and deliverables in coordination with project teams, respecting agreed timelines, priorities and quality requirements

Knowledge and skills

• Ability to analyse complex and large datasets, detect relevant trends and patterns, and derive robust evidence-based insights
• Strong analytical reasoning and ability to combine quantitative, qualitative and computational approaches according to the analytical question.
• Ability to ensure accuracy, consistency, traceability and integrity of data and analytical outputs through systematic validation and quality-assurance practices.
• Ability to transform analytical findings into concise, compelling and decision-oriented narratives, reports, visual summaries and recommendations.
• Ability to explain complex technical, scientific and analytical findings clearly to senior decision-makers, policy audiences and non-technical stakeholders.
• Ability to gather stakeholder needs, clarify requirements and translate them into structured analytical tasks, workflows and deliverables.
• Ability to document methodologies, data sources, assumptions, validation procedures and analysis processes clearly and consistently.
• Ability to resolve data and analytical issues pragmatically and propose actionable improvements based on evidence.
• Ability to manage analytical tasks, priorities and deliverables effectively and to work according to agreed timelines and quality requirements.
• Ability to work effectively both autonomously and as part of multidisciplinary, cross-functional and international teams.
• Proactive approach to exploring new analytical methods, tools, data sources and AI-assisted techniques where they add value.
• Flexibility to adapt to new analytical platforms, methodologies and project requirements.
• Excellent interpersonal, stakeholder-management and communication skills.
• Ability to participate effectively in multilingual and multicultural working environments.
• Ability to understand, speak and write English at a professional level; additional languages are an asset.
• Results-oriented mindset with a strong focus on delivering reliable, usable and decision-relevant analytical outputs.

Specific Expertise:

• Experience with quantitative and qualitative analytical methods, including statistical analysis, comparative analysis, evidence synthesis and mixed-methods research.
• Experience in computational text analysis and natural language processing-related analytical workflows, including text classification, annotation, thematic analysis, framing analysis and sentiment analysis.
• Experience 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.
• Strong knowledge of data quality practices, including source validation, accuracy and consistency checks, research quality control, dataset documentation and methodology documentation.
• Experience with data visualisation, visual research summaries and data storytelling for presenting complex findings to non-technical and institutional audiences.
• Experience with Microsoft Excel and the broader Microsoft Office suite for analysis, reporting and presentation of results.
• Experience 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.
• Working knowledge of Python or equivalent analytical scripting tools is an asset for data preparation and analytical support.
• Experience with AI-assisted analytical methods and tools is an asset, particularly for text- and media-based analytical workflows.
• Experience in research, policy analysis and technical/scientific reporting, including the ability to translate analytical results into evidence-based conclusions and recommendations.
• Experience in stakeholder requirements gathering and in translating user needs into technical or analytical specifications and workflows.
• Familiarity with collaborative work-management and documentation tools such as Jira, SharePoint and Microsoft Teams, or equivalent tools, is an asset

Candidate Profile

• University 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
• Ability to understand, speak and write English (C1)
• At 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.
• At least 3 years of professional experience in data annotation and classification, including the application of data-validation and quality-assurance procedures for analytical datasets.
• At least 2 years of experience in media monitoring and disinformation analysis, including identifying trends, narratives, framing dimensions, persuasion techniques and information manipulation patterns
• Remuneration:
  • Permanent Contract range: 30,000- 34,000EUR/gross per year