Business Data Analyst.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global provider of computer software solutions, specializing in data-driven insights and digital transformation. They operate at a significant scale, supporting complex business processes for clients across the insurance and financial services sectors. The company fosters a collaborative, innovation-led culture that encourages professional growth and technical excellence.
About the role.
We are looking for a Business Data Analyst to serve as a critical bridge between business stakeholders and technical engineering teams. You will be responsible for ensuring data integrity and clarity by translating complex business needs into precise technical documentation. This role is essential for maintaining high-quality data standards within the Property & Casualty insurance domain.
What you will do.
- Lead business requirement gathering sessions to translate complex needs into actionable documentation.
- Develop comprehensive Business Requirement Documents (BRD) and Functional Requirement Documents (FRD).
- Create detailed Source-to-Target Mapping (STTM) documents and manage end-to-end data lineage.
- Collaborate with technical teams to ensure accurate data mapping and database implementation.
- Troubleshoot complex data discrepancies to ensure system accuracy.
- Facilitate stakeholder alignment through clear communication and project management.
- Provide expertise on the end-to-end insurance lifecycle to guide project outcomes.
What you bring.
- 4–9 years of professional experience in data analysis.
- Mandatory hands-on experience in the Property & Casualty (P&C) Insurance sector.
- Advanced SQL skills, including complex joins and window functions.
- Experience working with Snowflake or traditional relational databases.
- Strong understanding of the end-to-end insurance lifecycle.
- Bachelor’s degree in Computer Science, Information Technology, Business Analytics, or a related quantitative field.
- Excellent communication and stakeholder management skills.
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