Enterprise Analytics Specialist
3 days ago
Driving business growth through data-driven insights is a compelling prospect for those passionate about using technology to transform healthcare. As an Analytics Engineer at CVS Health, you will design and implement scalable and sustainable pipelines for massive amounts of enterprise data, leveraging industry-leading technology to engineer the architecture of Finance data. Your expertise will be instrumental in driving critical analytics from numerous disparate sources, all integrated into semantic models and marts.
To excel in this role, you should have 5+ years of experience writing advanced to expert level SQL within database systems such as SAP HANA, Google BigQuery, Teradata. Additionally, 3+ years of experience with orchestration and pipeline engineering technology such as Airflow, Spark, Kubernetes, preferably Composer / Dataproc is essential. A solid background in analyzing large data sets with a focus in finance or insurance, and 3+ years of experience with Python or other object-oriented languages in a data engineering setting will also serve you well.
We offer a competitive salary range of $72,100.00 - $173,040.00 per year. Our benefits package includes medical, dental, and vision coverage, 401(k) retirement savings plan, and employee stock purchase plan. We strive to create an environment that fosters innovation, trust, and collaboration among our team members.
Responsibilities:
- Design and implement scalable and sustainable pipelines for massive amounts of enterprise data
- Engineer the architecture of Finance data supporting critical analytics from numerous disparate sources
- Collaborate with data visualization & analytics partners to develop solution architecture and execute projects
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