Data Analyst

Charles F Day & Associates LLC • Washington, DC

3d

About The Position

CONTINGENT UPON CONTRACT AWARD

Key Responsibilities

Owns loan-level data integrity and preprocessing across all phases. 
Extracts, validates, and resolves dirty or incomplete loan performance data before model execution. 
Designs and maintains automated projected versus actual performance analyses per PWS Section 3.
 Owns Monthly Data Creation (CDR 29), quarterly Website Report Updates (CDR 28), Intragovernmental Automation Tool maintenance (CDR 32), and 1502 Analysis (CDR 30).

Experience 

Minimum 4 years of data engineering, data analysis, or quantitative data processing experience.
Demonstrated experience with loan-level financial data, federal government data environments, or large-scale structured data processing.
Proficiency in SAS and Python required; experience with SQL and Excel data automation a plus.

Minimum Qualifications

Demonstrated proficiency in SAS data extraction and Python data processing is required as a condition of assignment.
Experience with ETL workflows and data validation frameworks required.
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required.

Equal Employment Opportunity Statement
 CFDay is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

HUBZone Preference
 As a HUBZone-certified company, CFDay encourages applications from HUBZone residents. HUBZone candidates are strongly preferred in accordance with program requirements.

Requirements

• Minimum 4 years of data engineering, data analysis, or quantitative data processing experience.
• Demonstrated experience with loan-level financial data, federal government data environments, or large-scale structured data processing.
• Proficiency in SAS and Python required; experience with SQL and Excel data automation a plus.
• Demonstrated proficiency in SAS data extraction and Python data processing is required as a condition of assignment.
• Experience with ETL workflows and data validation frameworks required.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required.

Nice To Haves

• experience with SQL and Excel data automation

Responsibilities

• Owns loan-level data integrity and preprocessing across all phases.
• Extracts, validates, and resolves dirty or incomplete loan performance data before model execution.
• Designs and maintains automated projected versus actual performance analyses per PWS Section 3.
• Owns Monthly Data Creation (CDR 29), quarterly Website Report Updates (CDR 28), Intragovernmental Automation Tool maintenance (CDR 32), and 1502 Analysis (CDR 30).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees