The role involves delivering data-driven insights for financial planning and performance management using advanced analytics and visualization tools. The analyst builds and maintains dashboards, executes analytics projects, supports predictive modeling, and collaborates with finance teams to enhance reporting processes.
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.
Top Skills
Azure Fabric
Azure Synapse
Dax
Git
Power BI
Python
Redshift
Salesforce
Snowflake
SQL
Model N Hyderabad, Telangana, IND Office
Unit No. 1001, 10th Floor, Building No. 12D, Mindspace Sez, Hitech City, , Hyderabad, Telangana , India, 500032
Similar Jobs
Fintech • Financial Services
Lead product management initiatives, conduct market analysis, manage product development, ensure compliance, and mentor junior PMs. Focus on customer needs and strategic goals.
Top Skills:
AgileAIAPIsCloud PlatformsData AnalyticsMachine Learning
Fintech • Financial Services
The Lead Trade Services Processor ensures customer satisfaction by managing Trade Service products, guiding team members, and making recommendations for improvements. The role includes interacting with clients, training staff, and adhering to regulatory policies.
Fintech • Financial Services
The Senior Trade Services Processor will manage trade services, train staff, handle payments, and ensure compliance while collaborating with team members.
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
