IT Business Analyst II

IT Business Analyst II

IT Business Analyst for Finance Reporting & Analytics

 

About the role 

We are looking for an IT Business Analyst to join our team, supporting business-critical data-driven solutions.

This role requires a well-balanced profile combining technical capabilities with solid business analysis expertise. The ideal candidate brings a hands-on technical background (e.g., software development or similar) and is motivated to connect systems, data, and business processes to drive practical and scalable Reporting & Analytics solutions. 

Curiosity, adaptability, and a strong willingness to learn are key success factors in this role.

 

Key Responsibilities 

• Translate business requirements into clear and structured technical specifications, and ensure transparent delivery with visibility on progress, risks and dependencies.
• Take end-to-end ownership of feature implementation and improvement initiatives, from requirements definition through implementation and validation.
• Partner with business stakeholders to understand needs, refine requirements, and propose scalable and pragmatic solutions.
• Drive the implementation of new products and features and provide ongoing support for existing Reporting & Analytics applications and data products in a BAU environment.
• Support Product Owners in product backlog management and delivery planning, ensuring alignment between business priorities and technical readiness.
• Perform in-depth data analysis to validate business logic, transform data, and ensure consistency and reliability.
• Collaborate closely with engineers, developers and architects to design robust and maintainable solutions aligned with enterprise standards.
• Ensure proper documentation, traceability, and adherence to governance and control standards. 
• Identify opportunities for process optimization and continuous improvement. 

 

About the Team 

You will join the Palantir Foundry Reporting & Analytics Solutions team, a high‑impact product team working at the intersection of Finance, data, and technology. The team delivers and runs modern, scalable, reliable, and data-driven solutions that enable better decision-making and operational efficiency.

Collaboration, ownership, and continuous improvement are at the core of how we work. You will join a supportive and dynamic environment where initiative, accountability, professional growth are valued and you’ll find a supportive environment that encourages idea-sharing and mutual respect.  

 

About You

You're a passionate professional who thrives in collaborative environments and gets energized by solving complex problems. You have a talent for translating business needs into technical requirements and can effectively communicate with both technical and non-technical stakeholders. You're data-driven, customer-focused, and committed to continuous improvement.

 

We are looking for a candidate who meets these requirements: 

• 5 – 8+ years of experience in IT Business Analysis or hybrid technical/business roles, ideally in Finance, Sustainability and/or Reporting & Analytics.
• Ability to operate independently and drive initiatives with minimal supervision. 
• Experience with database concepts, data structures and software development (e.g., Python, PySpark, SQL).
• Excellent stakeholder management and communication skills, with the ability to bridge business and technology and influence at multiple seniority levels.
• Ability to translate business requirements into implementable technical solutions, balancing feasibility, scalability, and delivery constraints.
• Proven experience with Palantir Foundry or comparable modern data platforms (e.g., Databricks, Snowflake), combined with a background in Finance / Sustainability / FP&A and the (Re-)Insurance industry is a strong advantage.
• Strong analytical and problem‑solving mindset, including familiarity with product delivery and performance metrics to drive continuous improvement.
• Strong command of Agile ways of working and environments (e.g., Azure DevOps, Jira).
• Experience applying AI technologies and techniques to support product development and business analysis processes.
• Knowledge of data governance and data quality principles.
• Learning mindset and adaptability to new business domains. 

Experience Level

Senior Level