Sr. Data Analyst (51556)

Index Analytics; Baltimore (MD); On-site; USD 150,000 - 160,000; Full time

Job summary

Index Analytics, LLC, a Baltimore-based health data consultancy, seeks a Sr. Data Analyst to turn Medicaid and CHIP datasets into actionable policy and operational insights.

You will conduct advanced analytics, predictive modeling, and qualitative research to inform CMS priorities and improve health outcomes. The role emphasizes collaboration in an agile environment with data analysts and external clients, delivering technical reports, dashboards, and manuscripts while guiding project execution

Qualifications

• U.S. citizen or authorized to work in the United States with residency in the U.S. for at least 3 of the past 5 years.
• Bachelor’s degree with a minimum of 10 years of experience (or equivalent combination of education and experience) with at least 4 years in research, analytic use cases, and deliverables.
• Experience applying statistical methods (distributions, hypothesis testing, regression) and data visualization for policy and oversight.
• Direct experience with SQL or PySpark for data analytics.
• Hands-on experience with TAF data, CMS-416T reports, and state health outcome metrics.
• Experience with DQ Atlas or Scorecard is a plus.
• Text analytics and NLP using Python or similar tech is a plus.
• Proficiency in Python and R is a plus.
• CMS experience with CMS or Gov’t agencies is a plus.
• Excellent verbal and written communication skills for diverse audiences.

Responsibilities

• Conduct research on best practices and analyze Medicaid/CHIP data sources to identify patterns and insights informing policy and CMS needs.
• Perform exploratory data analysis using statistical methods and data mining to build predictive models and uncover trends.
• Develop reports, dashboards, and visualizations grounded in UX best practices to help clients interpret information.
• Collaborate in an agile environment with analysts, data scientists, and clients to define requirements and deliver value-added solutions.
• Lead development of analytic products from pilot studies to dashboards requiring research, data discovery, and validation.
• Prepare technical deliverables and communicate findings to clients and scientific audiences through clear presentations.

Skills

Statistical methods

SQL

PySpark

TAF data

CMS-416T reports

Text analytics

NLP

Python

R

CMS experience

Education

Bachelor’s degree with a minimum of 10 years of experience (or equivalent combination of education and experience) with at least 4 years of experience in research and analytic deliverables

Job description

Sr. Data Analyst (51556)# Sr. Data Analyst (51556)Baltimore, MD 21244## OverviewSalary Range$150,000.00 - $160,000.00 Salary/yearLevelSeniorEducation Level4 Year Degree## Description**Company Overview**Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.**Position Overview**The incumbent will leverage domain expertise, advanced analytics, and research methodologies to transform complex healthcare data into actionable insights. The Senior Researcher/Analyst plays a key role in shaping high‐impact solutions related to the program using statistical analysis, data mining, programming, and qualitative research to inform policy, optimize operations, and improve health outcomes.**Responsibilities**· Conduct research on best practices and analyze diverse Medicaid and Children’s Health Insurance Program (CHIP) data sources including claims, TAF, program oversight metrics, scorecards, and performance data to identify patterns, clusters, and insights that inform policy, operational improvements, and feature development for CMS business needs.· Perform routine and exploratory data analysis using statistical methods, predictive modeling, and state-of-the-art data mining techniques to build predictive models, uncover trends, and generate actionable insights.· Develop and deliver high-quality reports, ad hoc analyses, and data visualizations grounded in HCD and UX best practices to help clients interpret complex information and support decision-making.· Work collaboratively in an agile environment with data analysts, data scientists, and internal/external clients to define analytical requirements, develop value-added solutions, and enhance business operations.· Lead development of analytic products using Medicaid and CHIP data to meet a variety of use cases from pilot studies to operational and reporting dashboards that will require extensive research, data discovery, analysis, and validation.· Manage development and release of assigned research projects and analytic use cases independently or working together with a team providing guidance and direction to technical and non-technical staff.· Prepare technical deliverables including presentation decks, reports, and draft manuscripts communicating findings to clients and scientific audiences through clear, compelling presentations that translate complex concepts for diverse stakeholders.· Integrate qualitative design research with exploratory data analysis to provide insights that support improved health policy and better outcomes for Medicaid and CHIP populations.· Use analytics and data expertise to provide input to and review of documentation, reference, and training materials related to analytic approaches, data structures and content, and data quality observations.## Qualifications**Qualifications**· U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least 3 of the past 5 years.· Bachelor’s degree with a minimum of 10 years of experience (or equivalent combination of education and experience) with at least 4 years of experience designing and conducting research studies, implementing analytic use cases, and building ad hoc or planned work products. Four years of specialized experience may substitute for a bachelor’s degree.· Experience applying statistical methods including distributions, hypothesis testing, regression and conducting complex data analyses with visualization techniques to support data-driven decision-making for program administration, policymaking, and oversight.· Direct experience performing data analytics using SQL or PySpark is required.· Hands-on experience with TAF data, CMS-416T reports, and processes for generating state health outcome metrics is required. Experience with DQ Atlas or Scorecard is a plus.· Subject matter expertise in text analytics is preferred and experience with Natural Language Processing (NLP) techniques using Python or similar technologies is a plus.· Proficiency in Python and R is a plus.· Prior experience with Center for Medicare Medicaid Services (CMS) or other Gov’t agencies is a plus.· Demonstrated excellent verbal and written communication skills with the ability to present complex information clearly to diverse audiences.