Financial Data Analyst (TS/SCI required)

Kentro • Washington, DC

11d

About The Position

Kentro is hiring an experienced Financial Data Analyst to support an intelligence customer and the DIA Office of the Chief Financial Officer (CFO). The role provides enterprise workforce analytics, data analysis, and technical development, including predictive strategic workforce planning through on-demand, intuitive web-based capabilities and reporting. The analyst helps develop standardized data operating procedures and reporting practices for consistent application across career fields and mission owners.

The analyst leads the design, development, and maintenance of analytical tools, dashboards, and reporting solutions that integrate enterprise human resources data with CFO-specific data. The position also develops predictive workforce planning models and self-service reporting, builds AI and machine-learning capabilities using AWS, and improves data discovery, knowledge management, and workflow automation in CFO systems, including SharePoint-based platforms.

The role standardizes workforce data and reporting methodologies across the Agency; analyzes workforce trends and performance indicators; and develops CFO dashboards covering workforce metrics and other mission-critical information. The analyst briefs division leadership and senior executives, translates complex findings into recommendations, and advises leadership on workforce analytics, data governance, AI capabilities, and business intelligence.

Requirements

• Bachelor’s degree in analytics or a related field.
• 5–7 years of data analyst experience.
• Active TS/SCI clearance at the time of hire and willingness and ability to obtain a CI Polygraph.
• Proficiency with Microsoft SQL Server Management Studio (SSMS), including developing, optimizing, and maintaining SQL queries, stored procedures, views, and databases supporting workforce analytics and reporting.
• Advanced experience developing interactive dashboards and visualizations in Tableau, including dashboard design, data modeling, calculated fields, and publishing enterprise reporting solutions.
• Experience integrating multiple enterprise data sources for analytics, reporting, and business intelligence.
• Proficiency in Python for data analysis, automation, scripting, ETL/data transformation, statistical modeling, and process improvement.
• Experience designing, developing, and deploying solutions within AWS, including AI and machine-learning capabilities, cloud-based data services, and automation tools.
• Experience developing AI-enabled solutions for SharePoint knowledge management, search, workflow automation, and user support.
• Knowledge of business intelligence principles, predictive analytics, workforce planning methodologies, and data governance best practices.
• Ability to automate recurring reports, dashboards, and analytical processes to improve efficiency, accuracy, and data availability.
• Strong analytical and problem-solving skills, including interpreting large, complex datasets and translating findings into actionable recommendations.
• Ability to communicate complex technical information to executive leadership through written products, presentations, and formal briefings.
• Experience supporting senior executives with executive dashboards, briefing materials, predictive analyses, and strategic workforce recommendations.
• Must meet updated identification requirements or be willing and able to update current forms of identification promptly to complete the suitability process.

Nice To Haves

• Master’s degree.
• Experience applying analytics best practices to human capital problems and hypotheses.
• Experience with the Intelligence Community (IC).
• Experience with workforce, talent management, or workforce analytics.
• Tableau experience is highly preferred and should be stated in the resume when used.

Responsibilities

• Provide enterprise workforce analytics, data analysis, and technical development in support of the CFO Office’s mission.
• Lead the design, development, and maintenance of analytical tools, dashboards, and reporting solutions integrating enterprise HR data with CFO-specific data.
• Develop predictive workforce planning models and self-service reporting capabilities for data-driven decisions at all organizational levels.
• Design, develop, and implement AI and machine-learning capabilities using AWS to improve data accessibility, knowledge management, and decision support within CFO systems, including SharePoint-based platforms.
• Identify opportunities to use AI to improve data discovery, automate business processes, and deliver user-focused solutions that increase operational efficiency.
• Develop and implement automated dashboards, reporting solutions, and data management tools to streamline data collection, analysis, visualization, and distribution.
• Improve analytical processes through automation and technical innovation to reduce manual effort and increase workforce information accuracy, timeliness, and availability.
• Ensure workforce data and reporting methodologies are standardized, integral, and consistent across the Agency.
• Analyze workforce trends, demographics, hiring, attrition, promotions, and other key performance indicators in support of CFO leadership and the four CFO program areas.
• Produce ad hoc reports, executive-level analyses, and predictive assessments for senior leadership, including DISES and DISL populations.
• Develop and enhance CFO dashboards providing visibility into workforce metrics, Equal Opportunity program data, reasonable accommodations, complaints and investigations, workforce profiles, and other mission-critical information.
• Apply advanced analytical techniques to identify trends, forecast workforce needs, and support strategic workforce planning aligned with organizational goals and mission requirements.
• Brief division leadership and senior executives on workforce analytics, emerging trends, predictive insights, and key performance metrics.
• Present analytical findings clearly and actionably, with recommendations that inform strategic decisions, resource allocation, and organizational planning.
• Advise leadership on workforce analytics, data governance, AI capabilities, and business intelligence initiatives.

Benefits

• Paid time off.
• Healthcare benefits.
• Supplemental benefits.
• 401(k) with employer match.
• Discount perks and rewards.
• Education reimbursement for certifications, degrees, or professional development.
• Flexibility to take courses, complete certifications, and pursue professional growth and networking.
• Company-funded virtual and in-person activities, including happy hours, holiday events, fitness and wellness events, and annual celebrations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level