Senior Analyst

Wipro; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Wipro in Bengaluru is seeking a data engineer to translate complex financial data needs into scalable data solutions. You will source, transform and model data for FP&A, valuations and reporting, leveraging SQL, data integration, and Snowflake.

You will apply frontier AI tools to automate workflows while ensuring data quality and governance. The role requires strong collaboration with Real Estate, Technology and Transformation teams, plus experience with analytics platforms like Tableau or Power

Qualifications

• 3–12 years of relevant experience, depending on role level.
• Bachelor’s or master’s degree from a Tier-1 college/university in Engineering, CS, IS or related discipline.
• Hands-on experience with complex financial datasets in Investment Banking, Asset Management or Fintech.
• Strong SQL, data modelling and data integration skills; experience with Snowflake is preferred.
• Experience using Copilot, Copilot Studio and frontier AI models for analytics and automation.

Responsibilities

• Partner with cross-functional teams to translate business needs into data requirements and technical solutions.
• Source, integrate and transform financial data; build and maintain warehouse models, tables and datasets.
• Apply SQL and data-modelling to support valuations, FP&A and investor reporting.
• Develop analytics and reporting solutions using AI tools to generate insights and automate finance workflows.
• Build data quality checks, reconciliations and controls with clear definitions and lineage.
• Coordinate cross-team testing, validation and implementation with proper documentation.

Skills

SQL

Data modelling

Data integration

Analytics

Stakeholder communication

Education

Bachelor's or Master's degree from a Tier-1 college/university in Engineering, Computer Science, Information Systems or related discipline

Tools

Snowflake

Copilot

Copilot Studio

Tableau

Power BI

Alteryx

Sigma

Job description

Job description:

• 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.

Job 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.

Profile description:

• 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.

Job 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.