The Role
Overview
Model N is seeking a highly skilled Finance Data Analyst to join our Business Intelligence (BI) team in India. This role partners closely with U.S. Finance and cross-functional teams to deliver data-driven insights that support financial planning, forecasting, and performance management. The ideal candidate combines strong analytical, technical, and business acumen with a passion for transforming data into clear, actionable insights.
Responsibilities
Partner with Finance and cross-functional teams to translate business questions into clear, data-driven insights that support planning, forecasting, and performance management.
Execute end-to-end analytics projects: define requirements, explore financial and operational datasets, build data models, and deliver insights through dashboards, reports, and presentations.
Develop, enhance, and maintain Power BI dashboards and reporting assets to track key financial and go-to-market metrics (e.g., pipeline coverage, ARR/NRR, revenue retention, quota attainment, customer health).
Analyze customer, revenue, and product usage data to identify trends related to growth, churn, expansion, pricing, and performance that inform strategic decision-making.
Support development of predictive or statistical models (e.g., retention/expansion propensity, forecast drivers, segmentation) using Python or other analytical tools.
Validate data accuracy and reconcile financial and operational metrics across CRM, ERP, and data warehouse sources, partnering closely with BI/IT and Data Engineering teams.
Use SQL, Python, and Azure Fabric (or similar cloud data tools) to prepare datasets, automate reporting workflows, and scale financial analytics processes.
Ensure alignment on KPI definitions, data sources, and metric governance across Finance and GTM teams to drive consistent reporting and performance transparency.
Continuously improve analytics workflows, data visualization standards, and self-service reporting capabilities to enable efficient, insight-driven decision support across the organization.
Requirements
5–8 years of experience in business intelligence, data analytics, or a related role.
Proven ability to deliver actionable insights from large, complex, and diverse datasets.
Experience working cross-functionally to support strategic initiatives.
Bachelor’s degree in a quantitative, technical, or business field (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics). Master’s degree preferred in Business Analytics, Data Science, or a related discipline.
Technical Skills
Advanced proficiency in Power BI, DAX, data modelling, and dashboard design.
Strong proficiency in Python for data analysis, statistical modelling, and automation.
Experience working with Azure Fabric or other modern cloud-based data platforms.
Strong SQL skills for querying, joining, and transforming structured data.
Understanding of data warehousing concepts (e.g., star schema, dimensional modelling); experience with platforms like Azure Synapse, Snowflake, or Redshift.
Exposure to CRM platforms (e.g., Salesforce) and familiarity with version control tools (e.g., Git).
Analytical & Business Acumen
Solid foundation in descriptive and predictive analytics, including statistical methods and machine learning.
Ability to integrate, clean, and analyze data from disparate systems.
Skilled in translating complex data into clear narratives, actionable insights, and strategic recommendations.
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The Company
What We Do
Model N enables life sciences and high tech companies to drive growth and market share, minimizing revenue leakage throughout the revenue lifecycle. With deep industry expertise and solutions purpose-built for these industries, Model N delivers comprehensive visibility, insight and control over the complexities of commercial operations and compliance. Our integrated cloud solution is proven to automate pricing, incentive and contract decisions to scale business profitably and grow revenue. Model N is trusted across more than 120 countries by the world’s leading pharmaceutical, medical technology, semiconductor, and high tech companies, including Johnson & Johnson, AstraZeneca, Stryker, Seagate Technology, Broadcom and Microchip Technology. For more information, visit www.modeln.com.
