Job Summary
HYBRID ROLE
The Data Analytics Engineer serves as the operational arm of data analytics, functioning as a power user within the analytics ecosystem. This role supports the implementation of data governance decisions, ensures high data quality, maintains documentation, and enables end users through training and guidance. The position plays a critical role in data integration, cleansing, modeling, and in delivering insights that support effective business decision-making.
Key Responsibilities
- Support data, compliance, and environment governance processes for the assigned domain.
- Facilitate an intake process to reduce rework, promote reuse, and improve efficiency of analytics solutions.
- Collaborate with cross-functional teams to integrate data from warehouses, data lakes, and other sources to build models aligned to business needs.
- Cleanse and validate data to ensure report accuracy; maintain documentation of cleansing and transformation processes.
- Support analytics projects and generate business insights through reports, dashboards, and BI tools.
- Assist in developing and enforcing standards for data collection, integration, and data management processes.
- Contribute to ingestion of key domain data into the data lake and maintain relevant metadata and data profiles.
- Help business teams locate, access, and understand available data.
- Participate in communities of practice to promote responsible analytics usage and continuous improvement.
- Coach and assist business users in developing analytics capabilities and adopting analytics tools.
- Prepare clear and concise communication materials for leaders and key stakeholders.
