Analytics Engineers :
Analytics Engineers bridge the gap between business and technical teams by creating trusted, scalable, and efficient data models and products.
A successful Analytics Engineer can combine his / her technical expertise with business acumen to deliver actionable insights.
Your Role :
- 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.
- Manage Databricks work space.
Skills & Requirements :
Experience with cloud platforms such as Azure or AWS is a Mandatory (Databricks strongly preferred)Technical knowledge of data systems and curiosity to solve business problems.Understanding and curiosity about data products utilizing Gen AI.Track record with optimal data model development to drive business insights (experience with dbt cloud strongly preferred)Knowledge of programming languages such as Python and SQL is Mandatory.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)5+ years in the Data space as an analyst, engineer, scientist, or equivalent2+ years managing / building data visualization solutions(ref : hirist.tech)