Informatics Lead
Job in
Concord, Merrimack County, New Hampshire, 03302, USA
Listed on 2026-07-06
Listing for:
Humana
Full Time
position Listed on 2026-07-06
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Data Engineering
Job Description & How to Apply Below
* The Informatics Lead solves complex business problems using data from internal and external sources to provide insight to decision-makers. You will work with analytics, IT, and departments across the organization to improve Center Well programs and assets by analyzing the customer journey. You will work on problems of diverse scope and complexity ranging from moderate to substantial. You will report to the Director of Informatics.
The Center Well Experience team supports the corporate initiative of enhancing the customer and associate experience across Center Well segments. This team works with analytics, operations, finance, and digital teams to identify friction points and provide end-to-end visibility to how our customers work with our touchpoints and operations.
You will use its experience of data, modeling, optimization, and reporting tools. You will apply disciplined analytics to assess behavior and improve programs and products to maximize revenue growth and patient and associate experience. You will use advanced or predictive modeling to develop and test cases that improve the outcomes and quality of the programs we offer. You will contribute to more approaches to analytical models as it builds knowledge of the business context in which it operates.
You will analyze complex and diverse data, overseeing the analytics discovery, preparation, and delivery across the full life cycle of complex projects or solutions. You will promote to multiple units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business. You will advise executives to develop functional strategies (often segment specific) on matters of significance.
** Use your skills to make an impact*
* Main
Responsibilities Include:
+ Be a subject matter expert to identify unique insights and solve complex challenges using a variety of data sources.
+ Lead associates in the tasks of providing reporting, analytics solutions, and data science with the objective of optimizing performance and improving member experience.
+ Build and present story-driven presentations based on analytics, drawing on advance, in-depth knowledge and industry experience.
+ Take ownership of complex process improvement and metrics development, and lead strategic direction of experience data and reporting.
+ Upskill the Informatics team in data architecture and reporting.
+ Be creative and anticipate around next steps in large projects.
+ Must be passionate about contributing to an organization focused on improving consumer experiences and outcomes.
+ Oversee projects, activities, and processes while collaborating with adjacent informatics and data science teams to experience reporting strategy and outcomes.
+ Manage requests from team members and partners and set realistic expectations.
+ Produce meaningful strategy and direction for influencing member engagement and outreach strategies through detailed analysis of user interactions and outcomes.
+ Analyze causes behind data patterns and translate findings into applicable recommendations.
+ Uncover data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
+ Develop presentations around insights and tell compelling stories with the data, and deliver to members at all levels: strategic, tactical, operational, and throughout the company: marketing, operations, and finance.
+ Communicate findings, orally and visually in a way that can be easily understood by business counterparts.
** Required Qualifications*
* + Bachelor's degree and 7+ years of data analytics experience OR Master's degree and 4+ years of experience.
+ Open-ended feedback analytics experience, applying leading tools and platforms to mine insights at scale.
+
Experience with data analysis and engineering for analytics, predictive modeling techniques and using data to guide results and decisions.
+ Advanced experience using SQL to analyze complex and diverse datasets, can identify analytics needs and own complex data analysis and…
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