Health Care Quality Data Specialist

Health Care Quality Data Specialist

The Opportunity:
As quality data specialist, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a quality data specialist at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to support our client's mission of providing useful information and data points to drive consumer choice.

As a client-facing quality data specialist on our health team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on consumer decision-making.

How You’ll Contribute:
As a quality data specialist on our team, you’ll:

• Use your data analytics expertise to support client and stakeholder relationships.
• Research, develop, and test data methodologies, and generate cross-functional solutions through acquisition, analysis, interpretation, and evaluation of large quality data sets.
• Contribute to impactful work and guide decision-making across multiple organizations.
• Apply consulting and communications skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
• Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL and Python, and Microsoft Office Suite.
• Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
• Apply data visualization through different formats such as graphic presentations and tabular views.
• Grow your communication and technical skills by creating data-centric solutions across CMS and the broader health market. 

Work with us to drive large-scale business and process decisions through data insights.

Join us. The world can’t wait.

You Have: 

• 5+ years of experience performing data management with health data in SQL and Python, including using Databricks or Snowflake, and big data tools or frameworks such as Spark
• Experience analyzing health insurance claims data in the Centralized Data Repository (CDR), Integrated Data Repository (IDR), or Chronic Conditions Warehouse (CCW)
• Experience with data validation, cleansing, and enrichment techniques to improve the accuracy and completeness of data
• Experience designing, implementing, and optimizing end-to-end data pipelines for ingesting, processing, and transforming large volumes of data
• Experience with CMS Quality Reporting Programs and quality measure calculation
• Experience developing and assessing benchmarking methodologies in support of quality measurement
• Ability to build and maintain data integrations with internal and external data sources and APIs
• Ability to communicate and clearly explain complex methodologies, and present findings and recommendations to both technical and non-technical audiences
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in a Health Administration, Economics, Statistics, or CS field

Nice If You Have: 

• Experience with the QPP or MIPS programs
• Experience with client management
• Experience with the federal procurement and proposal process
• Experience with Agile engineering practices
• Knowledge of healthcare data such as the Provider Enrollment, Chain, and Ownership System (PECOS), Master Beneficiary Summary File (MBSF), Standard Analytic Files (SAF), or Prescription Drug Event (PDE) data

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.