Senior Data Analyst

Robert Half is seeking a Senior Data Analyst with 7+ years of experience in data analytics to support a federal client in designing, developing, and delivering data-driven decision-support products.

Must have an active T4 Public Trust, active Secret Clearance, or be eligible to obtain a Secret Clearance.

Responsibilities:

• Lead complex data analysis efforts to identify trends, patterns, risks, performance drivers, and actionable insights that support federal client leadership decisions.
• Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis.
• Develop, optimize, and maintain SQL queries, views, scripts, and data logic used to support dashboards, ad hoc reports, and recurring decision-support products.
• Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization.
• Design and build curated datasets, data models, and data structures that support accurate, repeatable, and scalable reporting.
• Develop dashboards, data visuals, and business intelligence products using Power BI, and other BI tools.
• Integrate Python into Power BI for highly customizable and complex statistical visualizations
• Build ad hoc reports and analytical products in response to client leadership, operational, and program management needs.
• Partner with federal client stakeholders, public safety subject matter experts, business analysts, and internal data teams to define metrics, KPIs, reporting requirements, and data definitions.
• Translate complex data findings into clear narratives, visuals, and recommendations for technical and non-technical audiences.
• Perform data quality checks, data profiling, reconciliation, and validation to ensure accuracy and reliability of reporting outputs.

Requirements:

• 7+ years of experience in data analytics, data science, business intelligence, reporting, or data engineering.
• Bachelor of Science degree
• Must have an active T4 Public Trust, active Secret Clearance, or be eligible to obtain a Secret Clearance.
• Experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
• Experience writing complex DAX and M-language formulas involving financial data
• Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
• Experience automating workflows
• Hands-on experience extracting data from multiple source systems and developing datasets for dashboarding, reporting, and analysis.
• Experience writing and optimizing SQL queries for data extraction, analysis, transformation, and reporting.
• Experience coding or supporting ETL processes, including data cleansing, transformation, validation, and integration.
• Experience developing dashboards and visualizations in Tableau and Power BI.
• Experience with business intelligence tools, data visualization concepts, dashboard design, and reporting best practices.
• Ability to conduct complex data analysis and communicate findings clearly to client leadership and technical teams.

Additional Details:

• This is a long-term contract opportunity (2 years+) with potential for Contract-to-Hire.
• Onsite 5 days per week in Washington DC 20002.

Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.