Data Analytics Engineer - Python/SQL (5-8 yrs)

We're looking for a Senior Analytics Engineer to join the Product Analytics team in our Noida, India office. You will use your healthcare background and experience in analytics, data engineering, and/or software development to help build impactful analytics products for both our clients and internal teams. By sharing your considerable experience and expertise in analytics and data pipelines with the rest of our global team, you will have a substantial impact on the quality and efficiency of our team.

Key Responsibilities :

- Develop analytics about our products to discern if our tools are being used as intended and generating positive outcomes for our healthcare customers

- Develop analytics about general hospital operations to provide them with information to power and improve their daily operations

- Productionalize analytics using performant DBT pipelines, dashboards, data monitors, and other platform tools.

- Develop analytic solutions to support internal requests regarding client-specific questions to support our customer support teams

- Deploy analytics to new customers in a sustainable, scalable, and reliable manner

What we are looking for :

- 5+ years experience in analytics, data engineering, or business intelligence

- Experience analyzing data from electronic health records (EHR)

- Deep experience leveraging SQL to answer applied business analytics questions

- Expertise in data modeling & designing dbt pipelines for production services

- Experience optimizing queries & modeling data for BI tools and semantic layers

- A love for the big picture and a healthy obsession with the details

- Deep curiosity and a passion for real-world impact

It's a Plus if You Have :

- A solid understanding of git and version control

- Experience with Claims or Population Health data

- Deep knowledge of modern data warehouses (Databricks and/or Snowflake preferred)

- Experience with BI tools that have a semantic layer (Looker + LookML [not Looker Studio], Sigma, PowerBI)

- Education in statistics, economics, or other quantitative field

- Experience building applications that use Generative AI

- Experience in Linux and Command Line tools

For this role, candidates need to work in the PST time zone (02:30 PM - 11:30 PM) and Work from the Office (3 Days from the office and 2 Days from Home) (Noida, Sec-142).