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Data Analyst- Customer Analytics (Power BI, Python, Azure)

Model N

India · On-site Full-time Senior Today

About the role

About

As an experienced and innovative Business Intelligence Analyst at Model N, you will have the opportunity to join the newly formed Client Analytics team and contribute to building an analytics capability that provides meaningful insights and value across the organization. If you are passionate about turning data into business impact and thrive in a collaborative, fast‑paced environment, we would love to hear from you.

Key Responsibilities

  • Collaborate with stakeholders to gather and translate business questions into actionable analytics solutions that drive customer and business impact.
  • Lead end‑to‑end analytics projects, including scoping, data exploration, modeling, and delivery of findings through reports, presentations, and dashboards.
  • Develop and maintain dashboards and visualizations in Power BI to track key performance indicators, customer metrics, and operational trends.
  • Analyze customer data to uncover insights related to engagement, retention, segmentation, and lifecycle behaviors that inform business strategy.
  • Design and implement predictive models (e.g., segmentation, churn propensity) using tools like Python and scikit‑learn, in collaboration with engineering for production support.
  • Validate data requirements and ensure accuracy, working closely with the data engineering team to ensure consistency, completeness, and usability across sources.
  • Leverage tools like Python and Azure Fabric to explore and prepare data for analysis and modeling; contribute to scalable analytics workflows with guidance from the data engineer.
  • Partner with cross‑functional teams (Sales, Customer Success, Product) to align analytics with organizational goals and provide strategic insights.
  • Stay current with analytics and BI best practices, continuously improving analytical approaches, visualization techniques, and data storytelling.

Qualifications Required

  • 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 with business, product, and engineering teams to support strategic initiatives.
  • Familiarity with customer analytics concepts, including segmentation, churn analysis, and lifecycle metrics.
  • Advanced proficiency in Power BI, including DAX, data modeling, and dashboard design.
  • Strong proficiency in Python for data analysis, statistical modeling, 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 modeling); 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.
  • 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.

Company Overview

If you are looking to join a company that is the leader in revenue optimization and compliance for pharmaceutical, medtech, and high‑tech innovators, Model N might be the perfect fit for you. With a focus on innovation and customer success, Model N empowers life sciences and high‑tech manufacturers to bring life‑changing products to the world more efficiently and profitably. Trusted by over 150 of the world's leading companies across more than 120 countries, Model N could be the next step in your career. For more information, visit www.modeln.com.

Additional Information

As an experienced and innovative Business Intelligence Analyst at Model N, you will have the opportunity to join the newly formed Client Analytics team and contribute to building an analytics capability that provides meaningful insights and value across the organization. If you are passionate about turning data into business impact and thrive in a collaborative, fast‑paced environment, we would love to hear from you.

Key Responsibilities:

  • Collaborate with stakeholders to gather and translate business questions into actionable analytics solutions that drive customer and business impact.
  • Lead end‑to‑end analytics projects, including scoping, data exploration, modeling, and delivery of findings through reports, presentations, and dashboards.
  • Develop and maintain dashboards and visualizations in Power BI to track key performance indicators, customer metrics, and operational trends.
  • Analyze customer data to uncover insights related to engagement, retention, segment

Requirements

  • Proven ability to deliver actionable insights from large, complex, and diverse datasets.
  • Experience working cross-functionally with business, product, and engineering teams to support strategic initiatives.
  • Familiarity with customer analytics concepts, including segmentation, churn analysis, and lifecycle metrics.
  • Advanced proficiency in Power BI, including DAX, data modeling, and dashboard design.
  • Strong proficiency in Python for data analysis, statistical modeling, 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 modeling); 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

  • Collaborate with stakeholders to gather and translate business questions into actionable analytics solutions that drive customer and business impact.
  • Lead end-to-end analytics projects, including scoping, data exploration, modeling, and delivery of findings through reports, presentations, and dashboards.
  • Develop and maintain dashboards and visualizations in Power BI to track key performance indicators, customer metrics, and operational trends.
  • Analyze customer data to uncover insights related to engagement, retention, segmentation, and lifecycle behaviors that inform business strategy.
  • Design and implement predictive models (e.g., segmentation, churn propensity) using tools like Python and scikit-learn, in collaboration with engineering for production support.
  • Validate data requirements and ensure accuracy, working closely with the data engineering team to ensure consistency, completeness, and usability across sources.
  • Leverage tools like Python and Azure Fabric to explore and prepare data for analysis and modeling; contribute to scalable analytics workflows with guidance from the data engineer.
  • Partner with cross-functional teams (Sales, Customer Success, Product) to align analytics with organizational goals and provide strategic insights.
  • Stay current with analytics and BI best practices, continuously improving analytical approaches, visualization techniques, and data storytelling.

Skills

Azure FabricAzure SynapseDAXGitPower BIPythonRedshiftSalesforcescikit-learnSnowflakeSQL

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