Marketplace Data Analyst

Overview

Marketplace Data Analyst

Remote | U.S. Based 

Occasional requirements to conduct work in either Bethesda, MD or McLean, VA

Clearance: Public Trust

CMS:MSI

*An in-person interview may be required.

 

SummaryOur client provides reliable, effective, and innovative technology solutions that advance federal, state, local, and nonprofit missions. Their technologists and consultants are passionate about solving complex challenges that impact millions of lives. Also, our client takes a Mindful Modernization approach in delivering our application modernization, grants management systems, government data analytics, and advisory services. Mindful Modernization is our client's way of delivering mission impact by aligning our government customers’ strategic objectives to measurable outcomes through people, processes, and technology.

 

Responsibilities

We are seeking a Marketplace Data Analyst to serve as the “data investigator” for the Centers for Medicare & Medicaid Services (CMS) Federally Facilitated Marketplace (FFM or Marketplace). This role pulls, queries, and analyzes Marketplace data — including Agent/Broker data — to answer operational, compliance, and fraud-related questions, transforming findings into actionable insights for both technical and non-technical audiences.The analyst will access and integrate data from multiple Marketplace systems, detect patterns and anomalies, and collaborate closely with the Marketplace Agent Broker Analyst to investigate potential fraud, waste, and abuse (FWA). You will work with policy, compliance, and technical teams to ensure data-driven recommendations lead to improved operations, risk mitigation, and enhanced consumer and broker experiences.This position requires deep technical expertise in querying and analyzing large structured and unstructured datasets, proficiency in executive reporting, strong data visualization skills, and a working knowledge of FFM/Marketplace operations and compliance requirements.

 

Key responsibilities include:

• Data Collection, Cleansing & Analysis
  • Collect, process, and normalize data from Marketplace systems using tools such as New Relic, Splunk, Salesforce, Amazon Data Bricks, SAS, Redash, EDAP, Sandbox, Snowflake, MS Power BI, MarkLogic, XQuery, and JavaScript.
  • Access structured and unstructured datasets from sources such as Snowflake, Databricks, SAS, SQL, or MarkLogic.
  • Clean and integrate data from multiple systems (e.g., Salesforce for call center tickets, Splunk for logs, New Relic for performance metrics) for accurate analysis.
  • Interrogate data using advanced data science, statistical, and mathematics techniques, including machine learning, anomaly detection, and pattern recognition.
  • Manipulate large datasets to uncover trends, correlations, anomalies, and operational risks.
  • Analyze Agent/Broker data specifically to detect operational patterns and compliance issues..
• Fraud, Waste & Abuse (FWA) Detection
  • Detect unusual broker and consumer activity such as:
    • High enrollment volumes from one broker in a short timeframe.
    • Multiple applications from the same IP or device.
    • Suspicious mid-year plan switching or duplicate enrollments.
  • Work closely with the Marketplace Agent Broker Analyst to confirm whether anomalies indicate identity theft, unauthorized enrollments, “churning” for commissions, or other violations.
  • Prepare detailed evidence packages with data queries, charts, and timelines for program integrity and enforcement review.
• Reporting & Visualization
  • Develop dashboards, reports, and real-time visualizations using Power BI, Tableau, or Redash to convey findings.
  • Produce executive-level reports that translate technical results into plain-language summaries for CMS leadership, compliance officers, and operational teams.
  • Present data in creative and visually compelling ways to communicate insights effectively.
  • Prepare and deliver presentations to both technical and non-technical stakeholders.
• Collaboration & Recommendations
  • Work closely with the ABCQI team, business and technical leads, and other stakeholders to ensure analysis aligns with project objectives and that requests are delivered accurately and on time.
  • Provide actionable, data-driven recommendations to support decision-making, operational improvements, policy updates, and technical changes.
  • Collaborate with other team members to integrate data insights into project plans and strategies.
  • Partner with system developers to share analytical insights that support enhancements or close compliance loopholes.
  • Work alongside the Agent Broker Analyst to ensure analytical findings result in operational actions and, when necessary, enforcement measures.

Experience:

• Minimum Years Experience:
  • 5 years in data analytics or data science.
• Directly supporting/supported or familiarity with the FFM/Marketplace and/or health insurance industry.
• Proficiency in executive reporting and preparing executive-level reports and visualizations.
• Experience with Marketplace data and tools such as New Relic, Splunk, Salesforce, Amazon Data Bricks, SAS, Sandbox, Snowflake, MS Power BI, and MarkLogic in federal or healthcare systems integration environments.
• Strong skills in cleaning, transforming, and analyzing large datasets to uncover operational patterns and compliance risks.
• Proficiency in data interrogation using SQL, Python, R, Scala, or SAS.
• Proven ability to detect and analyze anomalies, leading indicators, and KPIs in support of operational and compliance objectives.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and interpersonal skills with the ability to work effectively in a team-oriented environment.
• Nice-to-Have (but not “required”):
  • Experience using natural language processing (NLP) or machine learning in data analysis workflows.
  • Understanding of data governance, quality assurance, and privacy best practices in a federal environment.
  • Working knowledge of Redash, EDAP, and data modeling tools.

 

Education/Certification Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• An additional four (4) years of relevant experience may be substituted for a bachelor’s degree.
• Preferred: Certifications in data analytics platforms or tools (e.g., Power BI, Tableau, AWS Certified Data Analytics, SAS Certified Specialist, Splunk Core Certified User).

Clearance Requirements

• Public Trust (or ability to obtain)

--------------  About UsNorthern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.  Equal Opportunity Employer StatementPrecision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.