Data Analytics Manager

McDermott Will & Emery is a leading global law firm helping to propel the success of today’s most respected, dynamic, and important organizations. More than 1,200 lawyers strong, we bring our personal passion and legal prowess to bear in every matter for our clients and the people they serve. Pride and determination abound here because every member of our team is respected, supported, and inspired to exceed. We have been recognized as a top firm to work by The American Lawyer, Working Mother Magazine, Vault, and the Human Rights Campaign for both lawyers and business professionals.

McDermott+Consulting (McDermottPlus) is a Washington DC-based healthcare consulting and data analytics firm, serving a wide range of clients including health systems, physician groups, health plans, diagnostic manufacturers, medical device manufacturers, and other healthcare clients. The candidate will support clients and consultants with ongoing data analytics support as our clients’ needs expand in a changing environment that includes payment reform, measuring quality of care, and achieving cost efficiencies in care delivery. Ideal candidates are comfortable working in a fast-paced environment, managing multiple project deadlines, have independent problem-solving skills and can work collaboratively in a team environment.

McDermottPlus is seeking a Data Analytics Manager that will support clients and consultants with ongoing data analytics as client needs expand in a changing environment. That includes payment reform, measuring quality of care, and achieving cost efficiencies in care delivery. This role will work extensively with healthcare data and frequently analyze Medicare claims and other datasets from the Centers for Medicare & Medicaid Services. The data manager should be an experienced SAS programmer and experienced working with healthcare data — specifically analyzing Medicare claims and payment file data. Ideal candidates are comfortable working in a fast-paced environment, managing multiple project deadlines, have independent problem-solving skills and can work collaboratively in a team environment.

As part of our ongoing commitment to be #AlwaysBetter for our people, clients, and communities, we have created a culture of belonging that champions your individuality and authenticity as both a person and a professional. From our competitive compensation, top benefits and award-winning professional development programs to industry-leading wellness initiatives, we support you through every stage of your life and career so you can live a life you love both in and outside of the office.

As a Data Analytics Manager you will:

• Work with Medicare claims and other healthcare data to inform business and policy strategy recommendations for clients
• Help conceptualize and implement the scope of quantitative/programming projects for clients
• Manage projects and assignments from senior consultants and clients through to completion
• Support articles, thought pieces, analysis and summaries on policy developments, including legislation, executive orders, and regulations with quantitative analysis as requested
• Participate in firm business development and marketing activities including proposal and pitch writing, product development, relationship building and other activities as requested
• Work with other McDermottPlus staff as part of a cross-functional team to deliver results to clients

Job Requirements:

• Bachelor’s degree or higher in computer science, business, economics, mathematics, statistics, public policy, public health, or other related fields; advanced degree preferred
• 5–8 years related work experience; 2-3 years of consulting experience preferred
• At least 3 years of SAS programming experience
• Experience analyzing Medicare hospital inpatient, hospital outpatient and carrier claims data, as well as data from large surveys (e.g., MCBS) or other large (more than 1 million records) datasets
• Familiarity with Medicare payment systems, including the inpatient prospective payment system (IPPS), outpatient prospective payment system (OPPS) and Medicare physician fee schedule (MPFS)
• Experience importing, transforming, cleaning, merging and editing complex datasets using SAS, including experience with SAS Macros
• Ability to create a wide variety of output, reports, and delivery files
• Experience interpreting statistical output and analyses
• Ability to manage high-priority projects simultaneously and bring projects to successful completion, including ability to manage junior consultants on client projects as necessary
• Proficient with Microsoft Office Suite
• Strong analytic, research and writing skills
• Strong presentation skills
• Familiarity with major healthcare industry stakeholders (associations, advocates, and government agencies).

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