Senior Data Analyst (Remote) - Power BI & SQL

Praxy; Washington (District of Columbia); Hybrid; USD 94,000 - 115,000; Full time

Job summary

GDIT is seeking a Senior Data Analyst to support data collection and analysis for monitoring a government program on care and placement of participants in grant-funded providers. You will work with contractors and federal staff to enhance data collection, tools, and processes, and identify performance indicators.

The role requires 5+ years of experience with quantitative and qualitative data interpretation, strong visualization skills in Tableau/Power BI, and proficiency in SQL, Python or R.

Qualifications

• Bachelor’s degree with 5+ years of data interpretation and analysis experience; 3 years with a Master’s degree.
• Working knowledge of data visualization platforms (Tableau or Power BI) and scripting languages (R, Python).
• Working knowledge of SQL and relational databases.
• Advanced skills in Excel and VBA.
• Exceptional analytical skills and strong written/verbal communication.

Responsibilities

• Work with contractor and federal staff to enhance data collection and analysis of program data.
• Update and develop on-site data collection tools and processes for reliable data.
• Identify performance outcomes and indicators; data points for analysis.
• Conduct high-level data interpretation and analysis using analytics platforms.
• Prepare summaries and presentations reflecting results for agency leadership.

Skills

Analytical skills

Attention to detail

Communication skills

Experience with immigrants/refugees

Education

Bachelor’s degree

Master’s degree

Tools

Tableau

Power BI

SQL

Python

R

Linux

Job description

GDIT is seeking a Senior Data Analyst to support data collection and analysis for monitoring a government program on care and placement of participants in grant-funded providers. You will work with contractors and federal staff to enhance data collection, tools, and processes, and identify performance indicators.

The role requires 5+ years of experience with quantitative and qualitative data interpretation, strong visualization skills in Tableau/Power BI, and proficiency in SQL, Python or R.