Business Intelligence Finance Data Analyst at Model N

Hyderabad, Telangana, India

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Finance, SaaSIndustries

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
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)
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

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

Skills

Key technologies and capabilities for this role

SQLPythonPower BIAzure Fabricdata modelingdashboardsCRMERPdata warehousefinancial analyticspredictive modelsstatistical modeling

Questions & Answers

Common questions about this position

What experience level is required for this Business Intelligence Finance Data Analyst role?

The role requires 5–8 years of experience in business intelligence, data analytics, or a related role.

What are the key technical skills needed for this position?

Advanced proficiency in Power BI is required, along with SQL, Python, and Azure Fabric (or similar cloud data tools) for data preparation, modeling, and automation.

Where is this role located?

The role is based in India, partnering closely with U.S. Finance and cross-functional teams.

What education is required for this position?

A Bachelor’s degree in a quantitative, technical, or business field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or Business Analytics is required; a Master’s degree in Business Analytics, Data Science, or a related discipline is preferred.

What kind of experience makes a strong candidate for this role?

Candidates with proven ability to deliver actionable insights from large, complex datasets and experience working cross-functionally to support strategic initiatives stand out.

Model N

Cloud-based revenue management solutions provider

About Model N

Model N offers cloud-based revenue management solutions tailored for the high-tech and life sciences industries, helping clients maximize revenue throughout the commercialization process. Their platform includes industry-specific tools like Revenue Cloud for Pharma and Medtech, which address complex pricing and compliance challenges. Clients subscribe to Model N's software-as-a-service (SaaS) model, ensuring continuous updates and support. The company's goal is to enable clients to efficiently bring life-changing products to market while navigating regulatory complexities.

San Mateo, CaliforniaHeadquarters

1999Year Founded

$36MTotal Funding

IPOCompany Stage

Enterprise Software, HealthcareIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

401(k) Company Match

Paid Vacation

Life Insurance

Pet Insurance

Employee Assistance Programs

Mental Health Support

Employee Stock Purchase Plan

Professional Development Budget

Risks

Vista acquisition may disrupt operations or affect company culture.

GenAI integration may face adoption challenges among existing clients.

Inflation Reduction Act could impact clients' revenue, affecting investment in Model N.

Differentiation

Model N specializes in revenue management for life sciences and high-tech industries.

Their solutions address complex pricing, compliance, and revenue challenges in targeted sectors.

Model N's SaaS model ensures continuous updates and support for its clients.

Upsides

Integration of GenAI enhances efficiency in revenue management processes.

New Medicare Part D rebate feature aids compliance with Inflation Reduction Act.

Vista Equity acquisition provides resources for market expansion and product enhancement.

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