
Healthcare Data Systems SME I
Required skills
- pharmacy claims data
- data analysis
- technical support
- report preparation
- quality improvement
- focused investigations
- cost trend analysis
- analytical processes
- system workflows
- data accuracy
Nice to have
- advanced degrees
- MPH
- PharmD
- MBA with analytics emphasis
- DoD
- automation techniques
Role summary
J29, Inc. is a healthcare management consulting company seeking a Data Systems SME 1 to perform data analysis, technical support, and report preparation. The role involves analyzing raw data, providing expert analytical and technical support in healthcare and pharmacy, designing data analysis strategies, and developing repeatable analytical processes. Responsibilities include analyzing data, summarizing findings into reports, and supporting the modernization of pharmacy-related data systems. The ideal candidate will produce actionable insights for leadership and stakeholders, collaborate with cross-functional teams, and ensure compliance with BAA requirements. A Bachelor's degree in a related field and a minimum of five years of experience with pharmacy, healthcare, or claims data systems are required, along with proficiency in tools like SQL, SAS, or R.
- Analyze raw and/or preliminary trend data to identify potential opportunities (e.g., variances, significant outliers, percentile ranked groups) for quality improvement or focused investigations.
- Provide expert analytical and technical support across key pharmacy/healthcare related tasks, including data interpretation, cost trend analysis, and development of methodologies aligned to program goals.
- Aid in design data analysis strategies to identify potential areas for quality improvement or focused investigation.
- Develop and maintain high‑quality, repeatable analytical processes and system workflows that ensure data accuracy, timeliness, responsiveness, and compliance with applicable quality standards.
- Analyze data, draw conclusions, and summarize into reports.
- Develop and/or populate tabular and graphical presentations of data.
- Support program by evaluating, modernizing, and operationalizing pharmacy‑related data systems by applying expert‑level understanding of pharmacy benefit structures, pricing models, and clinical or operational data flows.
- Produce actionable insights, reports, and recommendations that translate complex data trends into clear guidance for leadership and stakeholders in support of program oversight and continuous improvement.
- Collaborate with cross‑functional SMEs and government teams to ensure alignment with program goals, support staffing and transition planning, and maintain compliance with client Business Associate Agreement (BAA) requirements.
- Familiar with commonly used concepts, practices and procedures, relying on instructions and pre-established guidelines to perform the functions of the job.
- Support development of reports concerning all of the above.
- Bachelor’s degree in data science, public health, pharmacy, health informatics, statistics, computer science, or a related field.
- Advanced degrees preferred (MS, MPH, PharmD, MBA with analytics emphasis).
- Minimum of five (5) years working with pharmacy, healthcare, or claims data systems—including analytics, data engineering, data quality management, or related functions.
- Deep understanding of pharmacy claims data (e.g., NCPDP, NDC, formulary attributes, network data).
- Experience with federal data environments, large‑scale datasets, and enterprise data warehouses.
- Proficiency in statistical analysis, modeling, or analytic tools (e.g., SQL, SAS, R, Python, Power BI).
- Experience in at least four key areas, such as:
- Pharmacy benefit management (PBM) data operations
- Pricing or financial modeling
- Clinical or formulary analytics
- Benefit design modeling
- Data system architecture or data governance
- Minimum of five (5) years of experience supporting government pharmacy or healthcare benefit administration, such as DoD (preferred), VA, CMS, or similar.
- Ability to read, analyze, and interpret common scientific and technical and professional journals, technical procedures, or governmental regulations.
- Ability to write reports, business correspondence, and procedure manuals.
- Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
- Ability to apply advanced mathematical concepts such as probability and statistical inference.
- Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
- Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
- Ability to define problems, collect data, establish facts, and draw valid conclusions.
- Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
- To perform this job successfully, an individual should have fluency in SAS or other statistical programming software and MS Office.
- Ability to work independently and in teams.
- Must possess familiarity with statistical and epidemiological methodologies, and automation techniques for analytic tasks.
- Ability to work with highly sensitive information while preserving the confidentiality of the information.
- Working knowledge of healthcare systems, Medicare/Medicaid preferred, healthcare databases and coding systems.
Originally posted on Himalayas

