Senior Business Intelligence Engineer Product Owner

The Senior Business Intelligence Engineer partners closely with other teams in HQRI to understand data/IT needs. They work to solve complex business problems and issues using data or IT systems from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors., The Senior Business Intelligence Engineer collaborates closely with business teams to understand objectives. They will use the tools, technologies, applications and practices to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Using their knowledge and expertise to influence the business team's strategy and execution. They will make decisions on moderately complex to complex issues regarding technical approach for project components. Work is performed without direction and will exercise considerable latitude in determining objectives and approaches to assignments., Work at Home Guidance:

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

Satellite, cellular and microwave connection can be used only if approved by leadership

Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Scheduled Weekly Hours

Bachelor's degree and 5 years of technical experience in data analysis OR Master's degree and 3 years of experience OR equivalent work experience

Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Outlook, PowerPoint, and SQL

Advanced experience working with large, complex data sets within bigger organizations

Proficiency in understanding Healthcare related data

Must be able to lead peers, influence conversations, and confidently present ideas/information based on knowledge of and experience with Stars measure and health data

Ability to easily integrate into a business team, work alongside and build trust with partner teams who will provide the vision for measure focused work

Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

Proficiency in verbal and written communication to senior and executive leadership

Preferred Qualifications

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

Advanced in SQL, SAS and other data systems

Experience with tools such as PowerBi and Qlik for creating data visualizations

Expertise in data mining, forecasting, simulation, and/or predictive modeling

Experience creating analytics solutions for various healthcare sectors

Experience with Medicare Stars measures

Must be passionate about contributing in an organization focused on continuously improving consumer experiences