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 visualizationsBuild 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 degreeMust 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 dataExperience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)Experience automating workflowsHands-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.