Sharp DecisionsRemote
Analytics Engineer
United States of America
Contract
9 hours ago
$48 USD
H1B Sponsor Likely
Key skills
SQLDimensional ModelingData WarehousingLookerLookMLBI Semantic ModelingBI MigrationModern Data Stack ToolsdbtAirflowCloud Data WarehousesSnowflakeRedshiftData ReplicationData IntegrationPythonELTData EngineeringAnalyticsBIBusiness IntelligenceCommunicationCollaboration
About this role
Sharp Decisions is seeking an Analytics Engineer to support the modernization of their business intelligence and data modeling ecosystem. This role will be instrumental in evolving the BI layer and improving data accessibility while partnering with various teams to ensure consistent reporting.
Responsibilities:
- Design and develop scalable, well-structured data models to support business intelligence and analytics use cases
- Refactor and simplify existing BI semantic layers (e.g., Looker explores / LookML) to improve usability, performance, and maintainability
- Lead and support BI migration efforts, including rebuilding dashboards and underlying data models
- Translate business requirements into clean, reliable datasets for self-service analytics
- Partner with cross-functional stakeholders to define metrics, standardize logic, and ensure consistent reporting
- Build and maintain ELT pipelines to transform and integrate data from multiple sources
- Support data platform migration and replication efforts, ensuring data accuracy and integrity
- Identify and resolve data quality issues and performance bottlenecks
- Establish and promote best practices for data modeling, documentation, and governance
Requirements:
- Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Mathematics, Statistics)
- 3+ years of experience in analytics engineering, data engineering, or a related role
- Advanced proficiency in SQL and strong understanding of dimensional modeling and data warehousing concepts
- Hands-on experience with BI tools, particularly Looker (LookML, explores, dashboards)
- Experience refactoring or rebuilding BI layers and semantic models
- Experience supporting BI migrations (dashboard rebuilds, metric standardization, model redesign)
- Familiarity with modern data stack tools (e.g., dbt, Airflow)
- Experience with cloud data warehouses (Snowflake and/or Redshift)
- Ability to work with complex legacy systems and drive simplification
- Strong communication and collaboration skills
- Experience with data replication or integration is a plus
- Familiarity with Python or other scripting languages is a plus