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Forma.ai

Real-time sales compensation modeling platform

Analytics Engineer Intern

Data EngineeringConfirmed live in the last 24 hours
InternshipPune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • Experience in Python development.
  • Experience working with SQL and/or Pandas.
  • Experience building automated data ingestion and ETL/ELT pipelines.
  • Ability to communicate business requirements across multiple teams.
  • A strong sense of customer empathy.
  • Eagerness to exercise existing skills and acquire new ones, with a genuine interest in data.
  • Interest in experimenting with technologies that improve the efficiency of data ingestion processes.

Responsibilities

  • Participate in new customer implementations and help translate business requirements into code.
  • Build and optimize code for big data pipelines, architectures, and data sets while working with customer data across industries.

Desired Qualifications

  • Experience with PySpark, Databricks, and APIs is a bonus.

About the Company

Forma.ai

Real-time sales compensation modeling platform

Forma.ai provides a real-time modeling platform that helps businesses optimize sales compensation. It lets customers test different compensation ideas against historical data to estimate costs and potential impact, then implement the best-performing plan. The product works by running simulations on past sales data to forecast outcomes under various pay structures, enabling quick experimentation and rollout of new strategies. Forma.ai differentiates itself by offering live, scenario-based testing at scale for organizations ranging from startups to large enterprises across the globe, including customers like Autodesk. Its business model is service-based, typically charging a subscription fee for access to the platform. The company aims to turn sales compensation into a strategic advantage by making it faster and easier to design, compare, and deploy compensation plans that align with business goals.

Company size
51-200
Company stage
Series B
Total funding
$58M
Headquarters
Toronto, Canada
Founded
2016

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