Manager, Data Analytics-Cost of Care (Hybrid

Resp & Qualifications

PURPOSE:

Purpose of the Manager, Data Analytics is to execute business objectives with data and ensure alignment with the vision of the company. Individual will organize the technology, processes and financial resources necessary to address the current and future analytics needs of the business. Provides thought leadership and acts as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodologies.

Provides management responsibility into data-driven insights that inform the business's strategic direction.

We are looking for an experienced professional in the greater Baltimore/Washington metropolitan area who is willing and able to work in a hybrid model. The incumbent will be expected to work a portion of their week from home and a portion of their week at a Care First location based on business needs and work activities/deliverables that week.

We are not looking for generalists who may have an IT background and various credentials like Scrum, Agile, etc.

In this role, the primary responsibility will be to manage a team supporting the analytics, reporting and data governance activity for work related to Cost of Care Reporting, including Ideation support, Hotspot/Trend Analysis, Dashboard and Report management, Specialty/Member/Provider/Other Detail Reporting and Business Care Support. In addition, we will look to this individual to help support items like AI implementations, partnerships with our IT/Data Management teams, vendor support (ex: Milliman Med Insights) and other related functions.

• Manage a team with a focus on supporting the analytics, reporting and data governance activity for work related to Cost of Care Reporting, including Ideation support, Hotspot/Trend Analysis, Dashboard and Report management, Specialty/Member/Provider/Other Detail Reporting and Business Care Support. Manage a team with a focus on the development of analytics capabilities across the company, including self-service capabilities through technology implementation, best practices and training.
  
  Ensure team members serve as a trusted advisor to clients on analytics and data. Support items like AI implementations, partnerships with our IT/Data Management teams, vendor support (ex: Milliman Med Insights) and other related functions.
• Interpret statistical analyses and help clients derive meaning from them.
• Develop and deliver presentations and reports of analytic findings.
• Develop hypotheses and research questions to address clients' needs. Conduct a wide range of quantitative, qualitative, and mixed-methods analyses to answer clients' research questions.
• Develop analytic frameworks and select appropriate analytic methods to answer clients' research questions.
• Partner with stakeholders to understand data requirements and with internal and/or external resources to develop tools and services such as segmentation, modeling, dashboard development, decision aids, and business case analysis to support the organization.
• Uses multiple data sets to create reports and data presentations, and eventually creating data dashboards, for leadership and managerial use.

SUPERVISORY RESPONSIBILITY:
This position manages people.

QUALIFICATIONS:

Education Level: Bachelor's Degree in Computer Science, Information Systems or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Licenses/Certifications Upon Hire Preferred:

• Data Management ertified Analytics Professional (CAP) or Data Management apR Certified Data Analyst.

Experience:

• 5 years Progressive experience relating to data analytics/data analysis.
• 1 year Supervisory experience or demonstrated progressive experience.

Preferred Qualifications:

• Master's Degree
• Conceptual data and cloud architecture - understands major native data components in Azure and/or AWS and there relationships and use cases.
• Mastery of relational database theory include SQL and at least one major RDBMS.
• Well versed in Big Data scenarios and applications.
• Experience with multiple analytics delivery tools, methods, and platforms including PowerBI and/or Tableau.
• Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics.
• Experience not only in these domains.
• Experience in building and managing high-performing analytics teams that can deliver work consistently and transparently to our business partners, both internal and external.
• Prior healthcare analytics experience is a must.

Knowledge,

Skills and Abilities

(KSAs)

• Strong quantitative and qualitative skills.
• Knowledge and understanding of analytical tools, such as SAS, Excel, SQL.
• Excellent communication skills both written and verbal
• Ability to train others.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide…