Innovaccer

Healthcare data analytics platform.

Data Analyst

Data EngineeringConfirmed live in the last 24 hours

Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

At least 2 years of experience in a data engineering or analytics role at a data services or product firm.
Ability to perform data modeling and knowledge of different data modeling concepts.
Strong knowledge of SQL and ability to write complex SQL queries.
Ability to communicate technical and non-technical information clearly and concisely.
Strong problem-solving and analytical skills.
Ability to multitask and manage multiple high-priority tasks.
Experience working in an Agile environment.
Bachelor’s degree in Engineering or Computer Science.

Responsibilities

Design and build data pipelines that transform data from healthcare data systems while complying with relevant standards and industry best practices.
Adhere to, document, and improve data quality best practices.
Create easy-to-digest analytical reports for US healthcare customers.
Understand the company’s data warehousing concepts and implement best practices.

Desired Qualifications

Advanced degree in Engineering or Computer Science.
Experience with Snowflake, AWS, and Azure.
Experience in US healthcare.
Working knowledge of Python, focused on transforming data.
Experience with Agentic AI in data engineering.

Data Analyst

Innovaccer Analytics · Noida, India · Full-time · Posted 2026-10-15

Workplace: on_site

Department: Engineering And Analytics

Description

About the Role

At Innovaccer we are looking for a Data Analyst to help our customers explore their healthcare data, understand how to improve the health of the population and bring down the cost of healthcare.

A day in the life

Design and build data pipelines that transform data from a large number of healthcare data systems while complying with respective standards and industry best practices.
Adhere to, document and improve best practices regarding data quality.
Work towards creating easy-to-digest analytical reports for US healthcare customers.
Understand Innovaccer data warehousing concepts and implement best practices.

What You Need

2+ years in a data engineering / analytics role in a data services/product fi rm.
Data modeling ability - knowledge of different data modeling concepts.
Strong knowledge of SQL and ability to write complex SQL queries.
Self-starter, curious, accountable with a strong work ethic able to succeed in a fast-paced, high-intensity startup environment.
Extensive experience relaying technical and non-technical information clearly and concisely.
Demonstrated expert problem-solving and analytical skills.
Excellent oral and written communication skills.
Excellence in multitasking and managing multiple high-priority tasks at once.
Experience working in an Agile environment.
Bachelor’s degree in Engineering, Computer Science. An advanced degree in any of the areas above would be a plus.

Preferred Experience:

Experience with Snowflake, AWS & Azure
Experience in US Healthcare
Working knowledge of Python with a focus on transforming data.
Experience with Agentic AI in data engineering

Apply

Apply at Innovaccer Analytics

About the Company

Innovaccer

Healthcare data analytics platform.

Innovaccer provides a Health Cloud platform that connects, curates, and analyzes healthcare data to improve patient outcomes and reduce costs. The platform lets healthcare providers manage transitional care, lower 30-day readmissions, and expand primary care services, while giving pharmaceutical companies like Roche contextualized patient insights to lower development costs and risk. Revenue comes from clients paying for platform use. Unlike others, Innovaccer demonstrates value through measurable results (e.g., a CHESS $3 million value and a 23% reduction in 30-day readmissions) and earns high scores in independent analytics rankings (e.g., 94.9/100 in KLAS Data & Analytics Platforms with “A” across all six Customer Experience Pillars). The company's goal is to turn healthcare data into practical, scalable insights that improve clinical and financial outcomes for providers, life sciences partners, and patients.

Company size: 1,001-5,000
Company stage: Private
Total funding: $653.1M
Headquarters: San Francisco, CA
Founded: 2012

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