Better - Financial Data Analyst - IIM/ISB/MDI/FMS

Position Overview

The Financial Data Analyst is responsible for extracting, analyzing, and interpreting financial and operational data to support budgeting, forecasting, cost tracking, and strategic decision-making. This role leverages strong SQL skills for data manipulation, works closely with cross-functional teams, and ensures financial data accuracy for reporting and process improvement.

Data Extraction & Analysis

- Develop and maintain complex SQL queries to extract, clean, and transform data from multiple systems.

- Conduct detailed analysis of financial datasets to identify trends, variances, and cost drivers.

- Experience with data visualization tools (Looker, Tableau, Power BI, Mode)

Cost Tracking & Financial Modeling

- Apply financial and accounting principles to analyze costs, margins, revenue, spend patterns, and budget performance.

- Develop cost allocation models, forecasting templates, and analytical frameworks to support cost optimization.

- 2-5 years of experience in financial analytics, FP&A, business intelligence, or data analysis.

- Support month-end close activities by providing data-driven insights and variance analysis.

Cross-Functional Collaboration

- Work closely with cross functional teams to understand business needs and align reporting structures.

- Collaborate to refine templates, standardize financial reports, and enhance cost tracking methodologies.

- Translate business requirements into technical specifications for data extraction and reporting enhancements.

- Present insights to stakeholders in a clear, concise, and data-driven manner.

Reporting & Visualization

- Create dashboards, financial reports, and KPI scorecards using BI tools (Power BI, Tableau, or similar) for management insights.

- Support leadership with ad-hoc analysis to inform strategic decisions.

- Maintain documentation for SQL logic, data models, and reporting processes.

Required Qualifications

- Bachelor's or Master's degree in Finance, Accounting, Data Analytics, Business, Economics, or related field.

- Strong proficiency in SQL (joins, subqueries, window functions, ETL logic, performance optimization).

- Solid understanding of finance and accounting principles (costing, accruals, general ledger, budgeting).

- Experience working with large datasets and relational databases (e.g., PostgreSQL, MySQL, Oracle, SQL Server).

- Strong Excel skills (pivot tables, formulas, financial modeling).

- Ability to work collaboratively across cross-functional teams.

- Hands-on experience with Python programming for data analysis