business analyst in financial services

Andersen is a global technology company that delivers digital transformation services. The project supports a financial services provider by modernizing retail technology and building a secure, scalable enterprise data and analytics platform.

• Bridge business, data, reporting, and technical teams to elicit, analyze, and translate business, regulatory, data, and analytics requirements;
• Analyze legacy IRIS capabilities and source systems, including Sapiens, to define future-state data products, KPIs, dashboards, and analytics;
• Define data requirements, source-to-target mappings, business rules, transformation logic, data definitions, and acceptance criteria across IRIS, Sapiens, and EDAM;
• Support conceptual, logical, and physical data modeling, semantic models, and governed datasets for reporting, self-service analytics, and AI-enabled solutions;
• Support data migration, reconciliation, validation, and UAT, ensuring delivered solutions meet business, operational, and regulatory needs;
• Collaborate with Data Engineers and Architects to ensure requirements are feasible, traceable, and correctly implemented;
• Facilitate stakeholder workshops, manage gaps, dependencies, and risks, and drive requirements through implementation;
• Support MVP prioritization and contribute to data governance, lineage, metadata, and data quality practices, including foundations for future AI capabilities.

• 4+ Years of experience as a Business Analyst, preferably in data-intensive transformation programs;
• Strong practical experience in Data Analysis and Data Business Analysis;
• Proven experience gathering and translating business requirements into data, reporting, or analytics solutions;
• Strong understanding of data modeling, data flows, data mapping, and data transformation concepts;
• Experience with source-to-target mappings and business rules;
• Experience with reporting, BI, data platforms, or enterprise data products;
• Ability to understand complex data models and translate technical concepts into business language and vice versa;
• Experience working with business, architecture, engineering, and data teams in a large-scale transformation environment;
• Strong experience in requirements elicitation, stakeholder management, and workshop facilitation;
• Experience defining user stories, acceptance criteria, and functional requirements;
• Experience supporting data migration, reconciliation, and validation activities;
• Strong analytical and problem-solving skills;
• Excellent communication and documentation skills;
• Ability to work effectively in a complex program with multiple stakeholders and dependencies;
• English at Intermediate+ level or above;
• Nice to have: Experience in Retail, Financial Services, Insurance, or other regulated industries, legacy-to-modern data platform transformations, regulatory and operational reporting, Azure, Databricks or Microsoft Fabric, data governance, metadata, data lineage and data quality, enterprise data platforms or Data Mesh concepts, AI-enabled analytics, semantic models or agentic AI solutions, Agile/Scrum delivery environments.

• Work from Anywhere principle;
• The role is available across Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and The Netherlands;
• Access to BA meetups and compensation for international professional certificates;
• Mentorship opportunities and access to Andersen Knowledge Base courses.