Analytics Engineer III

As an Analytics Engineer III, you will convert analytics business requirements into technical requirements and implemented projects through working with IT, business, and analytics partners. May source data directly via batch and pipeline processes and manage SDLC processes while also building automated tools.

Responsibilities:

Requirements Gathering – Consistently leads meetings and/or calls with senior stakeholders and IT. May lead requirements gathering efforts on cross-functional projects. Consistently owns presentation materials. Requirements have significant insight and are consistently translated with technical and business insight into understandable constructs for individuals outside of the engineering domain. May mentor junior engineers.

Data Modeling – Leverages an expert understanding of data and analytics concepts to build tables and views autonomously. Through understanding of all key data sources and related limitations. Model sophistication ranges from few to innumerable related objects. Enhanced understanding of cloud analytics components (e.g. Databricks, Data Mesh, Delta lake, Data Lakehouse) required.

Analytics Code Development – Create code management and control. May recommend modifications to departmental SDLC processes to optimize working mechanisms. Creates test plans and validation controls; may create departmental templates.

Source Code/Documentation Management – May define departmental source code and documentation principles. May own multiple code bases; broad exposure to products, code bases, and domains.

Defect/Bug Investigation/Remediation – Develops products developed with very low defect/bug ratio. Addresses bugs and defects of any complexity. Assumes ownership of critical defects regularly and resolve. May define standards and procedures for issue remediation.

Education/Experience:

Bachelor’s degree in Computer Science, Healthcare Analytics, Health Information Management, Statistics, Actuarial Science, Information Technology or equivalent experience.

6+ years of experience required. Knowledge of SQL, SDLC, GIT, RDBMS. SQL experience required.

Python, R or similar technology highly preferred.

License/Certification:

DBT Fundamentals preferred

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