Title: Senior Data Analyst

CANDIDATE MUST BE LOCAL TO Washington, DC

Work Location: Washington, DC/Local Remote (candidates must be local to Washington, DC)

Years of Exp.: 10+ years exp.

Clearance:  Public Trust Clearance or Higher is Required

MUST HAVE Skills: sql, python, r, javascript, models, dashboards, reports, dax, data mash-ups (M), power platforms; powerbi, power apps, power automate, aws or azure, data bricks, data factory, data lake, etl, data analytics to detect fraud, statistical analysis, identify fraud, law enforcement or audit history,

Preferred: N/A

Certification: N/A

CLIENT NOTES:

Please note our preference on candidates that have the; Preferred, Required and Certifications will get preference. Submit candidates that have current/prior government agency experience.

Notes:

1. Candidates shouldn't have any employment gaps in their work history.

2. Please verify candidates current location.

3. Please screen candidates to make sure their qualified and are interested in the position.

4. Our clients normally select candidates that have supported large enterprise environments.

5. Our clients normally will select local candidates prior to ones that aren't local.

MUST HAVE candidate requirement for the Public Trust Clearance.

1. Has candidate lived in the US for at least (5) years?

(All candidates must have lived in the US for at least five years, and you will need to verify this information on the Public Trust Security Forms if selected) 

2. Has candidate been out of the US in the last (5) years more than (6) months cumulative?

(Candidates will need to verify this information on the Public Trust Security Forms if selected)

Job Description:

Position Description

This position is part-time working approximately 10-20 hours per week.

• Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.

• Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).

• Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.

• Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.

• Coordinate with staff and customers to identify business and technical requirements.

• Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.

• Assist the agency in the development of programming and visualization solutions.

• Troubleshoot and provide support on existing projects or application efforts.

• Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.