Senior Data Analyst
Listed on 2026-06-15
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Warehousing
Company Overview
K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.
Position OverviewWe are seeking a Senior Data Analyst with at least 10 years of experience to support a federal client in designing, developing, and delivering data-driven decision-support products. This role will focus on extracting data from multiple source systems, building trusted datasets, developing SQL queries and ETL logic, and producing complex analysis, dashboards, and visualizations for client leadership.
Senior Data AnalystThe Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts, data analysts, and dashboard developers. The ideal candidate is a strong communicator, an experienced hands-on analyst, and a collaborative team lead who can mentor junior analysts and lead small project teams.
The ideal candidate will reside in or within commutable distance to Washington DC.
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.
- Code and support 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 Tableau, Power BI, and other BI tools.
- 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.
- Lead small project teams, coordinate analytical work streams, assign tasks, monitor progress, and communicate risks, issues, and status to project leadership.
- Mentor junior data analysts by reviewing work products, sharing analytical best practices, supporting skill development, and promoting consistent documentation standards.
- Support user acceptance testing, dashboard validation, defect resolution, and stakeholder feedback cycles.
- Create and maintain documentation, including data dictionaries, business rules, analytical assumptions, data lineage notes, and dashboard user guidance.
- Identify opportunities to improve data processes, dashboard usability, automation, reporting consistency, and analytical efficiency.
- Minimum of 10 years of experience in data analytics, data science, business intelligence, reporting, data engineering, or a related analytical role.
- Bachelor of Science or Bachelor of Arts degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Finance, or an equivalent field.
- Hands-on experience extracting data from multiple source systems and developing datasets for dashboarding, reporting, and analysis.
- Strong experience writing and optimizing SQL queries for data extraction, analysis, transformation, and…
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