Senior Data Analytics Engineer

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.