Senior Analytics Engineer
The ITG Field Operations department is responsible for the development and implementation of HCA’s division and facility programs as well as the expansion of business processes and performance related to HCA's local strategies. The person hired to this position will develop dashboards and data models within the ITG division and learn the subject-matter necessary to develop and implement identified requirements as they relate to local projects and initiatives defined by business leaders. This role will support division and facility reporting needs, ad hoc reporting, report configuration, and report distribution throughout the organization. This role will be responsible for creating ad hoc and standard reports per local project or operational expectations.
The Senior Analytics Engineer is a part of the division ITG organization of HCA. This technically focused position within the division ITG team is responsible for designing, developing, testing and deploying our business intelligence solutions across the enterprise. This goal will be achieved by working with cross-functional business teams and utilizing relevant development platforms (such as PowerBI). Senior Analytics Engineer is responsible for application creation, administrative tasks, and supporting dashboard and report solutions development. The Senior Analytics Engineer will collaborate with Business Analysts, Data Scientists, and Project Managers, provide leadership regarding reporting and BI, as well as support and develop subject matter knowledge for reporting within the necessary solutions created. The Senior Analytics Engineer will ensure the effective design, build, deployment, documentation and maintenance of reports against relational and multidimensional databases to support end user processes.
What qualifications you will need:
• Specific expertise/experience in data acquisition, data cleansing and parsing required.
• Specific expertise/experience in data analysis, modeling and visualization required
• Mastery of a modern business intelligence platform (e.g., PowerBI, Qlik, Microstrategy) required. Experience with multiple platforms preferred.
• Extensive SQL experience required; Teradata preferred; experience in other ANSI SQL languages (e.g., MSSQL, Oracle, Postgres) preferred.
• Extensive experience with one or more formal development languages (e.g, Python, R, JavaScript, Ruby, Scala, or Clojure) required.
• Specific expertise/experience in the areas of data structures and data warehousing required.
• Experience using a distributed version control system (DVCS; e.g., GitHub, TFS) required.
• Experience working in an Agile/Scrum environment required.
• ETL experience preferred.
Education:
• Degree or equivalent experience preferred.
• 5+ years of professional experience.