Data Analytics Manager - Value- Care Reporting; Remote

Resp & Qualifications

We’re hiring for a Manager, Data Analytics - Value-Based Care Reporting on the Health Economics and Reporting team at Care First!

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' strategic direction.

We are looking for an experienced professional to live and work remotely from within the greater Baltimore/Washington metropolitan area. The incumbent will be expected to come into a Care First location periodically for meetings, training and/or other business-related activities.

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

• Manage a team of 5-6+ individuals supporting the analytics, reporting and data governance activity for work related to value-based care, including Attribution/Roster Management, Grouper and Data Validation, Budget/Target Reporting, Quality/Risk Coding Integration and Cost of Care/Opportunity reporting. 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 the development of analytics capabilities across the company, including self-service capabilities through technology implementation, best practices and training. Ensure team members serve as trusted advisors to clients on analytics and data.
• 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.

This position manages people.

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/Certified Analytics Professional (CAP) or
• Data Management/MapR Certified Data Analyst

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

• 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 Power
  
  BI and/or Tableau
• Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics
• Prior healthcare analytics experience is a must.
• Experience in 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.

• Strong quantitative and qualitative…