Mission-Driven Data Scientist | Power BI & Python Analytics

Kavaliro; Chantilly (VA); On-site; USD 110,000 - 165,000; Full time

Job summary

Kavaliro is seeking a Data Scientist to support advanced analytics, business intelligence, and data-driven decision-making. You will develop Power BI dashboards, analyze large datasets with Python and SQL, and transform data from multiple sources into actionable insights for technical and non-technical stakeholders.

The role emphasizes creating visualizations, prototyping analytical tools, and translating customer requirements into technical solutions while communicating recommendations

Qualifications

• Strong proficiency in Python, SQL, and Excel for analytics.
• Experience with data analytics, BI, statistics, data validation, or visualization.
• Active TS/SCI with Full Scope Polygraph.

Responsibilities

• Develop and maintain Power BI dashboards, reports, and visualizations.
• Analyze and interpret large datasets using Python, SQL, and Excel.
• Transform and integrate data from multiple sources.
• Build lightweight web apps and analytical tools when needed.
• Apply qualitative and quantitative analysis to business and mission challenges.
• Create data visualization prototypes, presentations, and analytic reports.
• Gather requirements and translate them into technical solutions.
• Communicate findings to technical and non-technical audiences.

Skills

Python

SQL

Data analytics

Data visualization

Communication

Education

Bachelor's degree in Data Analytics

Tools

Power BI

Excel

Job description

Kavaliro is seeking a Data Scientist to support advanced analytics, business intelligence, and data-driven decision-making. You will develop Power BI dashboards, analyze large datasets with Python and SQL, and transform data from multiple sources into actionable insights for technical and non-technical stakeholders.

The role emphasizes creating visualizations, prototyping analytical tools, and translating customer requirements into technical solutions while communicating recommendations