Job description

- As a team member responsible for helping to blend business-critical data needs with technical solutions, the Analytics Engineer role requires acumen in both domains.
- Collect business requirements and design highly optimized data models.
- Identify performance metrics definition and automation opportunities.
- Build trust through data conversion to data stories for internal and external consumption.
- Serve as the subject matter expert for the Enterprise Data Model
- Design, develop, and extend dbt code to enhance the Enterprise Dimensional Model.
- Create and maintain architecture and systems documentation.
- Provide cross-team support for CRM and Marketing teams.
- Assist with complex data analysis tasks.
- Implement the DataOps philosophy in everything you do.
- Create enterprise-grade reporting/data visualization solutions.

Skills & Requirements:

- Technical knowledge of data systems and curiosity to solve business problems.




- Track record with optimal data model development to drive business insights (experience with dbt strongly preferred)
- Expert proficiency in at least one leading BI Platform (DOMO, Tableau, Power BI)
- Knowledge of programming languages such as Python or R is advantageous.
- Experience with cloud platforms such as Azure or AWS is a plus (Databricks strongly preferred)
- Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.
- Experience with extracting and transforming data from cloud-native sources (Salesforce, NetSuite)
- 4+ years in the Data space as an analyst, engineer, scientist, or equivalent
- 2+ years managing/building data visualization solutions.

Skills: Data Analytics, Power Bi, Data Visualization, data systems, Cloud Services, Python

Experience: 4.00-7.00 Years

📌 Senior Data Analytics Engineer (Hyderabad)
🏢 ModMed Technologies India Private Lid
📍 Hyderabad