Full-Time

Senior Data Analyst

Updated on 9/3/2026

K.L. Scott & Associates

K.L. Scott & Associates

No salary listed

No H1B Sponsorship

Washington, DC, USA

In Person

In-person role required in Washington, DC, five days a week.

US Top Secret Clearance Required

Bachelor's

Category
Data & Analytics (2)
,
Required Skills
Power BI
Python
Data Structures & Algorithms
SQL
ETL
Tableau
Matplotlib
Pandas
NumPy
Requirements
  • Minimum of 7+ years of experience in data analytics, data science, business intelligence, reporting, data engineering, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Finance, or an equivalent field.
  • At least three years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least three years of writing complex DAX and M-language formulas involving financial data
  • At least five years of experience in finance or accounting
  • 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.
  • Strong 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.
  • Experience building ad hoc reports and recurring analytical deliverables for decision support.
  • Experience leading small teams or analytical workstreams.
  • Strong written and verbal communication skills, including the ability to explain data concepts to non-technical stakeholders.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and 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.
  • Lead small project teams, coordinate analytical workstreams, 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.
Desired Qualifications
  • Experience supporting federal clients, particularly federal public safety, law enforcement, emergency management, homeland security, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Expert in BASH commands and PowerShell
  • Experience working in government consulting, federal data modernization, or mission analytics environments.
  • Experience with additional BI, reporting, or analytics tools beyond Tableau and Power BI.
  • Experience with dashboard performance optimization, data governance, data quality frameworks, or data management best practices.
  • Familiarity with Agile, hybrid, or iterative delivery methods.
  • Experience developing executive-level dashboards, operational performance dashboards, or public safety decision-support products.
K.L. Scott & Associates

K.L. Scott & Associates

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