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Data Analyst Intern (PST- Shift)

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Onsite

Data Analyst Intern (PST- Shift)

Skypoint Cloud

Data Analyst Intern (PST- Shift)

Skills

SQL QueriesPythonData ScienceTesting & QApandasDatabricksData AnalysisAIdbtPower BIAzure

4 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Location: Remote (PST Shift)
  • About Skypoint . Skypoint is a HITRUST r2 certified Agentic AI platform for healthcare operations,designed to accelerate productivity and operational efficiency across healthcare organizations

About Skypoint

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.

Location: Remote (PST Shift)

About the Role:

Youll join the Implementation Analytics team that builds the data products powering SkyPoints US healthcare and senior living clients. Working alongside our implementation engineers, youll get hands-on with the full reporting stack Power BI, SQL, and modern data tooling turning raw client data into dashboards and insights that operations and clinical teams use every day. Its a build-and-learn role with real client deliverables, not busywork.

What youll do

  • Build and maintain Power BI reports and dashboards (DAX, Power Query)
  • Write and optimize SQL queries for analysis, validation, and troubleshooting
  • Help validate data across ingestion pipelines and flag quality issues
  • Assist with data modeling and transformations (semantic models, dbt)
  • Support client deliverables QA, documentation, and ad-hoc analysis
  • Collaborate with implementation engineers on reporting and connector work

What were looking for

Pursuing or recently completed a degree in CS, IT, Data Science, Statistics, or a related field

Working knowledge of SQL joins, aggregations, and a sense for writing clean queries

Familiarity with Power BI / DAX, or the ability to pick it up fast

Solid grasp of data analysis fundamentals and basic data modeling concepts

Strong problem-solving instincts and clear communication

Comfortable in a collaborative, fast-moving environment

Nice to have

Exposure to dbt, Databricks, or a cloud data platform (Azure)

Python (pandas) or light scripting

Strong Excel / data-wrangling skills

Interest in the healthcare or senior living domain

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 thats 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 .

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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