Business Intelligence Intern at SkyPoint Cloud
Bangalore, IN

Skypoint is a HITRUST r2–certified Agentic AI platform for healthcare operations, designed to accelerate productivity and operational efficiency across healthcare organizations. Our platform enables healthcare providers, payers, and senior care organizations to unify fragmented data, model industry-specific ontologies, and deploy AI agents that automate workflows and support better, faster decision-making.

Founded in 2020 in Portland, Oregon, Skypoint has grown to a team of over 75 employees and now serves more than 100 customers. We are proud to be recognized on Deloitte’s 2024 and 2025 Technology Fast 500™, celebrating the fastest-growing technology companies in North America, and to be featured on the INC. 5000 list in 2025, reflecting our strong and sustained revenue growth over the past three years.

 

Role Overview

We are looking for a Business Intelligence Intern to support data validation, modeling, and dashboard development across the organization. You will work with cross-functional teams to ensure data accuracy, build Power BI reports, and contribute to scalable data solutions. This role offers hands-on exposure to modern data platforms, ETL processes, API integrations, and AI-powered analytics, making it ideal for someone passionate about data and emerging technologies.

 

Responsibilities:

  • Perform end-to-end data validation — comparing source data against landed datasets, verifying row counts, aggregations, and KPI accuracy before reports go live.

  • Design star-schema data models and maintain DAX measure libraries within Power BI semantic models to power dashboards and AI-driven analytics.

  • Develop interactive Power BI KPI reports across operational, financial, clinical, and marketing domains, managing publishing, refreshes, and row-level security in the Power BI Service.

  • Collaborate with engineering teams on application development, providing data-layer expertise, assisting with API-to-data mapping, and contributing to QA of data-driven features.

  • Leverage AI-powered tools and validate AI-generated outputs for accuracy and reliability.

     

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field

  • Strong experience with SQL and data transformation

  • Hands-on experience with Power BI (reports, dashboards, DAX)

  • Understanding of data modeling concepts (star/snowflake schema)

  • Experience building or maintaining ETL/ELT pipelines

  • Familiarity with API integrations and modern data platforms

  • Strong communication skills and ability to work with clients

  • Exposure to AI-powered analytics tools

     

Preferred Background:

  • Experience with Lakehouse / modern data architectures

  • Exposure to cloud data platforms

  • Prior experience in analytics or BI implementation roles

 

What You Will Gain

  • Hands-on experience working with real-world production data

  • Exposure to AI-driven data platforms and reporting systems

  • Opportunity to work closely with cross-functional teams

  • Mentorship and learning opportunities in data analytics and business intelligence

 

Life at Skypoint

Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.

We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.

Join us to be part of a dynamic team that's shaping the future with groundbreaking solutions in AI and technology, all while enjoying a supportive and inclusive workplace!

Skypoint is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.