Are you a finance professional who thrives at the intersection of data, analytics, and strategic decision-making? Do you love turning complex financial data into clear, compelling insights that drive real business impact? If so, this is the role for you! Join our Risk Data Solutions Finance team in Bangalore and be part of a team that is redefining how finance operates in a data-driven world.

About the Role

As a Finance Data Analyst within the RDS Finance team, you will play a pivotal role in building and enhancing the division’s finance data landscape. The role is centered on data modelling, analytics, and automation, with exposure to financial planning and performance management.

You will work closely with stakeholders across Finance, Product, and Technology to deliver scalable data solutions, improve reporting efficiency, and enable better decision-making through data.

Key Responsibilities

Data & Analytics

Maintain and enhance the finance data model, ensuring scalability, integrity, and performance

Build and optimize dashboards, reports, and analytical tools

Work with large datasets using SQL / Python / PySpark to generate insights

Drive improvements in data quality, governance, and consistency

Identify and implement automation opportunities

Business Analytics & Partnering

Translate complex datasets into clear insights for decision-making

Partner with stakeholders across Product, Sales, and Finance

Finance Process Support

Support planning, forecasting, and reporting cycles

Perform variance analysis to identify key drivers

Contribute to IFRS 15 and financial governance activities

About the Team

The RDS Data, Automation & Reporting team is based in Bangalore and plays a central role in managing reporting and planning data infrastructure, modelling, and analytics. Acting as a key partner to the global RDS Finance team, the team operates as a unified finance function — supporting the RDS Management Team with high-quality insights, planning support, and financial decision-making. This is a collaborative, forward-thinking team that values curiosity, innovation, and a continuous improvement mindset.

About You

You are a data-oriented professional with strong analytical and technical skills, and an interest in applying these within a finance context. You are curious, collaborative, and comfortable working in a fast-paced, cross-functional environment

We are looking for candidates who meet these requirements:

3–5 years of relevant experience (analytics, finance, data roles)

Bachelor's or Master's degree in relevant field

Proficiency in SQL, Python, or similar tools

Strong Excel and PowerPoint skills

Experience with data models or analytical platforms (Palantir preferred)

These are additional nice to haves:

Experience in data model building and maintenance, with an understanding of data architecture and governance best practices

Familiarity with SaaS or fee-based business models, and an understanding of the financial dynamics of technology-driven businesses

Experience with data visualization tools such as Power BI or Tableau, with the ability to design intuitive, insight-driven dashboards

Exposure to automation, data pipelines, or self-service analytics, and a track record of driving process improvements

Strong understanding of, or demonstrated motivation to develop expertise in, financial performance drivers and planning processes, including IFRS 15 or comparable revenue recognition frameworks.

Strong stakeholder management and communication skills, with the ability to present complex information clearly to diverse audiences

Continuous improvement mindset with a focus on automation, efficiency, and innovation

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords:
Reference Code: 138509

Financial Data Analyst II

Key skills

About this role