Data Analyst- Finance

Tenneco; Gurugram District; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

A global manufacturing firm is seeking a highly skilled Lead Data Analyst – Finance to join their team in India. The ideal candidate will bring over 6 years of experience in financial analysis with strong expertise in SQL, Power BI, Azure, and AWS. This role involves analyzing large datasets to provide financial insights and develop data-driven solutions that support business decisions.

Qualifications

• 6+ years of experience in financial data analysis and business intelligence.
• Strong experience in SQL, Power BI, Azure, AWS.
• Expertise in ETL processes and financial data validation.

Responsibilities

• Analyze large financial and transactional datasets to drive insights.
• Develop and maintain SQL queries and financial data models.
• Design and implement Power BI dashboards for KPIs.

Skills

SQL

Power BI

Azure

AWS

Financial analysis

ETL processes

Data visualization

Data modeling

Communication

Education

Bachelor’s degree in accounting, Finance, Computer Science, Mathematics, or Engineering

Tools

OneStream

SAP

Job description

Overview

Job Title: Lead Data Analyst – Finance

Location: India

Job Type: Full-Time

Summary

We are seeking a highly skilled Lead Data Analyst – Finance to join our team. The ideal candidate will have 6+ years of experience analyzing large datasets, developing data-driven solutions, and providing financial insights to support business decisions. This role will focus on SQL, Power BI, Azure, AWS, OneStream, and SAP-related financial analytics, supporting accounting, financial operations, and transactional data analysis. The candidate will work closely with IT, finance, and operations teams to build scalable analytical solutions.

Key Responsibilities

• Analyze large financial and transactional datasets, identifying trends and anomalies to drive business insights.
• Develop and maintain SQL queries, stored procedures, and financial data models for reporting and analytics.
• Design and implement Power BI dashboards to visualize financial KPIs, operational performance, and risk indicators.
• Collaborate with IT and finance teams to identify, collect, and validate data from databases (Azure, AWS, SAP).
• Perform ETL processes for structured and unstructured financial data, ensuring data accuracy and integrity.
• Work with OneStream and SAP to enhance financial planning, consolidation, and reporting functionalities.
• Optimize Accounts Receivable/Payable, Fixed Assets, Supply Chain, and Inventory reporting processes.
• Research, evaluate, and implement new data analytics and business intelligence tools to improve financial reporting capabilities.
• Provide technical and strategic input to financial technology initiatives, automation, and cloud-based data solutions.
• Lead cross-functional data analytics projects, ensuring alignment with business goals and objectives.
• Effectively communicate financial insights to finance leaders, stakeholders, and executive teams.

Qualifications

Required:

• Bachelor’s degree in accounting, Finance, Computer Science, Mathematics, or Engineering.
• 6+ years of experience in financial data analysis, business intelligence, and data mining.
• Strong experience in SQL, Power BI, Azure, AWS, and SAP-related financial analytics.
• Experience analyzing accounting, financial, or transactional data across multiple business cycles.
• Knowledge of Accounts Receivable/Payable, Fixed Assets, Supply Chain, and Inventory Management.
• Expertise in ETL processes, data modeling, and financial data validation.
• Ability to work with IT teams to develop and maintain financial databases and reporting solutions.
• Strong verbal and written communication skills, with experience presenting to finance and executive leadership.
• Demonstrated experience in team leadership, stakeholder relationship management, and cross-functional collaboration.

Preferred

• Master’s degree in IT, Business Administration (MBA), or Data Science.
• Experience designing interactive dashboards in Power BI.
• Experience with ETL tools such as Alteryx.
• Practical experience with OneStream and SAP for financial modeling.
• Data Analytics Certification.