Data Analyst

Job ID: 218

Location: Remote

Employment Type: Full-time

Job Description

We are seeking an experienced and talented Data Analyst to join our team supporting the Centers for Medicare & Medicaid Services (CMS). As a Data Analyst, you will support data analysis and reporting for RA Reconciliation, and Reporting/Modeling efforts for RA Recon. Ongoing engagement with client but largely in maintenance status, with some small enhancement work. Leads analysis and directly interfaces with client regarding the analysis of CMS financial data. Work schedule based on Monday through Friday, from 9 a.m. to 5 p.m. Eastern Standard Time (EST).

Education (Required)

Bachelor’s degree and 9+ years of relevant experience

[OR]

Master’s degree and 5+ years of relevant experience.

Security Clearance and Eligibility (Required)

Candidate must be willing and able to obtain a CMS Public Trust clearance after onboarding.
Contract requires candidate must have lived in the United States at least three (3) out of the last five (5) years.

Qualifications

Strong verbal and written communication skills with direct customer interface experience.
Ability to lead and drive conversations regarding data analysis results with multiple stakeholders across different agencies/teams.
Ability to translate complex logic and results into terminology that is understandable to business users.
Experience performing data analysis on complex financial records from multiple data sources that have not been normalized.
Strong, demonstrated experience using Python to build reports and perform data analysis in scenarios where data sources are not normalized. (R is not currently an option).
Strong knowledge of Excel, including macros and formulas.
Working knowledge of shell languages such as shell or PowerShell.
Working knowledge of industry-standard authorization frameworks, including OAuth and SAML, with experience integrating these frameworks in a Data Engineering context.

Preferred Qualifications

Experience with visualization technologies such as Tableau or Power BI.
Experience building data pipelines using technologies such as AWS Glue or Azure Data Factory.
Experience with SaaS analysis frameworks such as Snowflake.
Experience working with Salesforce for data extraction.
Experience with data modeling and data governance tools and technologies.