Data Analyst at Blu Omega LLC
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

125000.0

Posted On

16 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Snowflake, Mathematics, Tableau, Power Bi, Excel, Splunk, Salesforce, Graphics, Sas, Marklogic, New Relic, Data Science

Industry

Information Technology/IT

Description

Blu Omega is looking for a Data Analyst to use data to improve access to healthcare. Join the our team at the Centers for Medicare & Medicaid Services (CMS), where your analytical expertise will help transform how millions of Americans experience the Health Insurance Marketplace.
As a Data Analyst, you’ll work at the intersection of healthcare, policy, and technology—leveraging tools like Snowflake, Amazon Data Bricks, and Power BI to uncover critical insights that guide program improvements, enhance system performance, and support informed decision-making.
In this role, you’ll dive deep into data from diverse sources—such as Splunk, Salesforce, and Redash—to identify patterns, monitor trends, and detect anomalies impacting agent/broker operations and consumer experiences. You’ll apply advanced data science techniques and statistical analysis to surface meaningful findings, which you’ll transform into actionable reports and compelling visualizations for business and technical stakeholders. As part of a collaborative and mission-driven team, you’ll help shape strategies that directly influence marketplace functionality, compliance, and long-term success.

QUALIFICATIONS:

  • 1 year+ of Federally Facilitated Marketplace (FFM) or Federally Facilitated Exchange (FFE) Marketplace data.
  • Databricks, Snowflake, MarkLogic, PowerBI (for reporting), Excel for graphics and/or Tableau
  • Must have ABC QI A/B industry knowledge
  • Experience with Marketplace data and data tools such as New Relic, Splunk, Salesforce, Amazon Data Bricks, SAS, Sandbox, Snowflake, MS Power BI and MarkLogic.
  • Experience with interrogating data using advanced data science, statistical, and mathematics techniques
  • Experience with manipulating data sets to uncover trends and extract insights.
  • Experience in presenting data in creative and visually compelling ways to communicate findings with data visualization tools such as Redash, MS Power BI, or Tableau.
Responsibilities

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