Analytics Engineer
Listed on 2026-07-14
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IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Job Description
Summary
The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and maintaining data assets to enable seamless consumption by business users and analytics tools. Responsible for preparing and modeling data in the silver and gold layers of G3's Databricks-based data lakehouse environment. Collaborates across IT and with business stakeholders to define and enforce data standards and understand data needs.
Essential FunctionsThis job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.
- Plans, creates, and maintains data architecture to enable business decisions and recommend technical solutions to management based on scalability and complexity.
- Implements and maintains robust data quality checks and validation processes to ensure high levels of data accuracy, consistency, and integrity across the silver and gold layers.
- Collaborates with stakeholders to define and enforce data standards, including master data management, develops data lineage understanding, while adhering to privacy and security policies.
- Partners with data scientists, analysts, and business stakeholders to understand data needs and design datasets and referential data that align with organizational goals.
- Responsible for executing the implementation of the data strategy related to G3's data lake goals and objectives.
- Develops and maintains clear documentation of data models, entity relationship diagrams (ERDs), governance processes, and quality rules to ensure transparency and reproducibility.
- Monitors and enhances the performance of data models and queries to ensure efficient use of resources and support timely analytics.
- Works with data warehousing teams to understand and recreate data layer structures.
- Translates business requirements to functional and technical design solutions, specifications, and prototypes.
- Collaborates with development teams to design high quality data solutions to enable analytics.
- Consults with analytics teams, business users, and decision makers to identify data sources, required data elements, or data validation standards.
- Develops test plans and facilitates testing prior to promotions.
- Performs cross-functional analysis and collaborates with stakeholders across departments. Partners and presents findings to senior leadership.
- Responsible for understanding and complying with applicable quality, environmental and safety regulatory considerations.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Minimum Qualifications- Bachelor's degree plus 3 years of experience in analytics engineering, technical architecture, database management, business intelligence, application development, middleware or a related role; OR Bachelor's degree plus 2 years of G3 experience in analytics engineering, technical architecture, database management, business intelligence, application development, middleware or a related role; OR High School diploma or State‑issued equivalency certificate plus 7 years of experience in analytics engineering, technical architecture, database management, business intelligence, application development, middleware or a related role;
OR High School diploma or State‑issued equivalency certificate plus 6 years of G3 experience in analytics engineering, technical architecture, database management, business intelligence, application development, middleware or a related role. - Proven experience in designing and maintaining data models for analytics and reporting.
- Hands‑on experience with data lake modeling concepts and frameworks (e.g., star schema, snowflake schema), implementing data quality and governance practices.
- Strong SQL skills for data querying and transformation.
- Bachelor's degree in…
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