Business System Analyst - Risk Data at Inetum

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

0.0

Posted On

01 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business System Analysis, Data Analysis, SQL, PL-SQL, Data Warehousing, Data Pipelines, BI Solutions, Databricks, Data Governance, Data Lineage, Source-to-Target Mapping, UAT, Agile, Data Modeling, Risk Reporting, Functional Specifications

Industry

IT Services and IT Consulting

Description

Company Description About Inetum Inetum is a European leader in digital services. For businesses, public sector organizations, and society as a whole, the group’s 26,000 consultants and specialists work every day to create tangible digital impact: solutions that contribute to performance, innovation, and the common good. With a presence in 19 countries, working closely with local communities, and alongside its major software developer partners, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum champions a vision of technology that is useful and well-managed, capable of unlocking the full potential of organizations and society: “Let’s make tech right.” In 2025, the group generated revenue of 2.2 billion euros. More information at: www.inetum.com Job Description Understand and clarify business requirements across the Risk area and translate them into clear functional and non-functional specifications Analyze the impact of new requirements and changes on existing systems, including Data Warehouses and upstream/downstream applications Define and document source-to-target mappings, business rules, data transformations, reporting requirements, and KPIs Deliver scalable data solutions that support critical Risk domains, including data platforms, reporting capabilities, and data sets Collaborate closely with Data Engineers, Developers, QA teams, Product Owners, and business stakeholders throughout the delivery lifecycle Contribute to data requirement gathering, solution design activities, impact analysis for system changes, testing activities including UAT and data validation, and post go-live stabilization Support data quality initiatives, data governance activities, data lineage processes, and the definition and evolution of data products Qualifications Minimum 3 years of experience as a Business System Analyst, Data Analyst, or System Analyst, with strong exposure to business and system analysis Solid experience working with Data Warehouses, Data Pipelines, Reporting and BI solutions, along with SQL (PL-SQL or similar) Familiar with AI tools at user level and able to work in modern data environments leveraging technologies such as Databricks, BI/Analytics platforms, Data Governance and Lineage solutions, and AI/Copilot tools Fluent English and strong communication skills, with the ability to act as a bridge between business and IT stakeholders Analytical, structured, detail-oriented, curious, and solution-driven, with the ability to work in complex environments involving data, integration, compliance, and regulatory requirements Nice to have/Open to Learn: Previous experience within the Risk domain and exposure to risk or regulatory reporting environments Knowledge of Data Modelling and experience with system integrations and data mapping activities Experience working in Agile delivery environments Familiarity with Data Governance solutions, BI and Analytics platforms, and AI/Copilot tools Interest in modern data architectures, data products, governance frameworks, automation, and AI-enabled data solutions Additional Information Full access to foreign language learning platform Personalized access to tech learning platforms Tailored workshops and training to sustain your growth Medical insurance Meal tickets Monthly budget to allocate on flexible benefit platform Access to 7 Card services Wellbeing activities and gatherings

Responsibilities

The role involves translating business requirements in the Risk area into functional specifications and scalable data solutions. It requires collaborating with technical teams to manage data mappings, KPIs, and data quality initiatives.