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Data Analyst (51590)

Role overview

Summary

This role focuses on creating value from data to address healthcare challenges for government clients. You will work within a team of data analysts and scientists at Index Analytics, contributing to the development of solutions that enhance business operations and policy.

Qualifications

  • Experience in statistical analysis and programming.
  • Proficiency in SQL and Python.
  • Experience with data visualization techniques.
  • Preferred: Knowledge of Medicaid and CHIP programs.
  • Preferred: Experience working in an agile environment.

Responsibilities

  • Research best practices and support developing solutions for Medicaid and CHIP programs.
  • Perform routine business analysis using statistical analysis and predictive modeling on Medicaid data sets.
  • Write, test, and maintain production code (SQL/Python) for processing claims and enrollment data.
  • Identify and diagnose data anomalies or data quality issues.

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

Index Analytics LLC logo

Index Analytics LLC

  • IT Services & Consulting
  • SME
  • 51–200
Index Analytics is an 8(a) certified small business specializing in data strategy, data integration, data visualization and Salesforce CRM solutions. Founded in 2012, Index has been delivering award winning IT solutions and improved our clients’ return on investment (ROI) by providing high-quality enterprise solutions to federal government agencies. We are proud to have successfully supported multiple enterprise-wide information technology (IT)-related deployments on domains such as Business Intelligence (BI); Extract, Transform, and Load (ETL) tools and technologies; Big Data; data strategy; Geographic Information Systems (GIS) technology; user training, coaching and support. Index Analytics’ services can be accessed through the following government contract vehicles: GSA Schedule 70 (SIN for IT Professional Services and Health IT; GSA Professional Services Schedule (formerly MOBIS) and CIO-SP3 (HUBZone); Please visit http://www.index-analytics.com/ for additional information

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Job description

Index Analytics, LLC, is a rapidly growing, Baltimore-based 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

Index Analytics is seeking a Programmer / Analyst to support Government clients in the Baltimore and Washington D.C. Metro Area. The Programmer / Analyst creates value from data by using statistical analysis and programming to solve healthcare challenges.

Responsibilities

· Research best practices and support developing solutions and recommendations for building value added products and solutions enhancing the current business operations and policy for Medicaid and CHIP programs.

· Perform routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining), provide business data interpretation on Medicaid data sets to include claims, TAF, program oversight, and more.

· Work with internal or external clients to produce ad hoc data and reports that visualize data using industry best practices for HCD and UX.

· Write, test, and maintain production code (SQL/Python) that processes claims and enrollment data into analytic files and measures

· Run and document QA/validation steps on code and output

· Identify and diagnose data anomalies or data quality issues

· Run and document QA/validation steps on code and output before products move to clearance or publication

· Run and document QA/validation steps on code and output before products move to clearance or publication

· Work in an agile environment with a team of data analysts and scientists.

· Perform data mining using state-of-the-art methods.

· Build statistical models, data visualizations, and tools for analysis.

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