Data Analyst

INDEX ANALYTICS LLC; Baltimore (MD); On-site; USD 100,000 - 120,000; Full time

Job summary

Index Analytics, LLC is hiring a Data Analyst to support Government clients with healthcare data analysis and programming in the Baltimore and Washington, D.C. Metro Area.

The role involves building models, data visualizations, and analytics tools using SQL, Python, and R within an agile team environment, with onsite work in Baltimore, MD. Compensation ranges from USD 100,000 to 120,000 per year.

Qualifications

• US citizenship or authorized to work in the US is required.
• Bachelor’s degree plus 4 years of relevant experience, or Master’s plus 2 years.
• Experience with Python, R, and SQL including processing large datasets.
• Experience with GitHub and automation with Jenkins for code/testing pipelines.
• Experience with NLP using Python or similar technologies.

Responsibilities

• Research best practices and support development of value-added products and solutions for Medicaid and CHIP.
• Conduct routine business analysis using statistical methods and data mining.
• Interpret Medicaid datasets including claims, TAF, and program oversight.
• Deliver ad hoc data and reports with industry best practices for HCD and UX.
• Write, test, and maintain production code in SQL and Python.

Skills

US citizenship

Authorized to Work

Data analysis

Python

SQL

R

GitHub

Jenkins

CI/CD

NLP

Education

Bachelor’s degree

Master’s degree

Tools

GitHub

Jenkins

CI/CD

Job description

Index Analytics, LLC is hiring a Data Analyst to support Government clients with healthcare data analysis and programming in the Baltimore and Washington, D.C. Metro Area.

Responsibilities

• Research best practices and support development of value-added products and solutions to enhance business operations and policy for Medicaid and CHIP programs
• Conduct routine business analysis using statistical analysis, explanatory and predictive modeling, and data mining
• Interpret business data from Medicaid datasets including claims, TAF, and program oversight (and more)
• Partner with internal or external clients to deliver ad hoc data and reports using industry best practices for HCD and UX
• Write, test, and maintain production code in SQL and Python to process claims and enrollment data into analytic files and measures
• Run and document QA and validation steps for code and outputs
• Identify, diagnose, and troubleshoot data anomalies and data quality issues
• Work in an agile environment with a team of data analysts and data scientists
• Perform data mining using state-of-the-art methods
• Build statistical models, data visualizations, and analytical tools

Requirements

• US citizenship or Authorized to Work, with experience living in the US for 3 of the last 5 years
• Ability to obtain a U.S. Federal government client badge and pass a government Public Trust
• Bachelor’s degree plus 4 years of relevant experience, or Master’s degree plus 2 years of relevant experience
• Experience with code repository tools such as GitHub and automation with CI/CD tools such as Jenkins to manage code and testing pipelines
• Experience with Python, R, and SQL including processing large administrative claims datasets and conducting data validation and quality-control checks
• Working knowledge of statistical methods and concepts (distributions, statistical testing, regression, etc.)
• Demonstrated excellent written and oral communication
• Experience applying Natural Language Processing using Python and/or similar technologies
• Prior experience with CMS (Center for Medicare Medicaid Services) or other Government agencies is a plus
• Familiarity with Medicaid and the Children’s Health Insurance Program (CHIP) is a plus

Technologies

• SQL
• Python
• R
• GitHub
• Jenkins

Location: Baltimore, MD (onsite)

Compensation: USD 100,000 - 120,000 per yearly