Key Responsibilities

- Partner with Real Estate, Technology and Transformation teams to translate business needs into data requirements and practical technical solutions.
- Source, integrate and transform financial data; build and maintain warehouse models, tables and reusable datasets.
- Apply SQL and data-modelling skills to support valuations, investment performance, FP&A;, and management and investor reporting.
- Develop analytical and reporting solutions and apply industry-leading AI tools and frontier models to generate insights, streamline processes and automate finance workflows, with appropriate controls and validation.
- Build data-quality checks, reconciliations and controls; document definitions, lineage and transformation logic.
- Coordinate cross-team testing, validation and implementation of data solutions, ensuring clear handovers, documentation and adoption.

Experience & Capabilities
- [3-12] years of relevant experience, depending on role level.
- Bachelor’s or master’s degree from a Tier-1 college or university in Engineering, Computer Science, Information Systems or a related discipline; finance training and certifications are an advantage.
- Hands-on experience working with complex financial datasets in Investment Banking, Asset Management, Private Markets, Fintech or another financial-services environment.
- Solid SQL, data-modelling and data-integration skills, with experience building and managing trusted datasets, warehouse models and data pipelines, ideally in Snowflake.
- Hands-on experience with Copilot, Cowork, Copilot Studio and frontier AI models to enhance data analytics, generate actionable insights, streamline processes and automate workflows.
- Working knowledge of financial statements,



financial reporting and investment data; real estate or fund-finance experience is an advantage.
- Experience gathering and translating business requirements into scalable data solutions, reporting assets and technical specifications.
- Experience with data quality, reconciliation, controls, lineage, accessibility and documentation across complex financial datasets.
- Experience with analytical or visualisation tools such as Alteryx, Tableau, Power BI or Sigma, and an ability to build usable reporting solutions.
- Ability to explain technical concepts to business stakeholders, support delivery across business and technology teams, and identify opportunities for analytics, automation and future AI adoption.

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Profile description

Key Responsibilities
- Partner with Real Estate, Technology and Transformation teams to translate business needs into data requirements and practical technical solutions.
- Source, integrate and transform financial data; build and maintain warehouse models, tables and reusable datasets.
- Apply SQL and data-modelling skills to support valuations, investment performance, FP&A;, and management and investor reporting.
- Develop analytical and reporting solutions and apply industry-leading AI tools and frontier models to generate insights, streamline processes and automate finance workflows, with appropriate controls and validation.
- Build data-quality checks, reconciliations and controls; document definitions, lineage and transformation logic.




- Coordinate cross-team testing, validation and implementation of data solutions, ensuring clear handovers, documentation and adoption.

Experience & Capabilities
- [3-12] years of relevant experience, depending on role level.
- Bachelor’s or master’s degree from a Tier-1 college or university in Engineering, Computer Science, Information Systems or a related discipline; finance training and certifications are an advantage.
- Hands-on experience working with complex financial datasets in Investment Banking, Asset Management, Private Markets, Fintech or another financial-services environment.
- Strong SQL, data-modelling and data-integration skills, with experience building and managing trusted datasets, warehouse models and data pipelines, ideally in Snowflake.
- Hands-on experience with Copilot, Cowork, Copilot Studio and frontier AI models to enhance data analytics, generate actionable insights, streamline processes and automate workflows.
- Working knowledge of financial statements, financial reporting and investment data; real estate or fund-finance experience is an advantage.
- Experience gathering and translating business requirements into scalable data solutions, reporting assets and technical specifications.
- Experience with data quality, reconciliation, controls, lineage, accessibility and documentation across complex financial datasets.
- Experience with analytical or visualisation tools such as Alteryx, Tableau, Power BI or Sigma, and an ability to build usable reporting solutions.
- Ability to explain technical concepts to business stakeholders, support delivery across business and technology teams, and identify opportunities for analytics, automation and future AI adoption.

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📌 Senior Analyst (Bengaluru)
🏢 Wipro
📍 Bengaluru