20-Data Analyst

Innovaccer Analytics

Noida, UP, IndiaYesterday

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Key details

Location
Noida, UP, India
Work style
Onsite
Level
Mid level
Job type
Full-time
Experience
2–5 yrs
Function
Data & ML
Focus area
Data engineering & Analytics
Posted
Yesterday

Skills

agentic aiagileawsazuredata engineeringdata modelingdata pipelinesdata qualitydata warehousingpythonsnowflakesql

About the role

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

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