Job Title: Senior Workforce Analytics & Modeling Analyst

Location: Remote (non-US based); U.S. time-zone

WHO WE ARE:

MGT is a leading provider of technology and advisory solutions serving state, local and education government agencies (SLED) across the United States. Through client partnerships, MGT’s almost 1,000 employees impact communities for good by managing and securing critical networks, solving complex human capital and fiscal problems, elevating education systems, and advancing equity as a performance imperative. MGT partners with thousands of agencies as a trusted advisor delivering solutions that improve technology, operational and economic performance to help communities thrive.

Founded in 1975, MGT initiated an ambitious restart in 2016, broadening the solutions portfolio to provide the most specialized solutions, tackling the most mission-critical problems that live at the top of the public agency leadership agenda. MGT drives over 20% compound annual organic growth and utilizes programmatic mergers and acquisitions to grow capabilities, attract top talent, and accelerate growth scale. Since 2020, MGT has successfully completed 9 acquisitions, driving over 60% compound annual inorganic growth.

Celebrating its 50th year in 2025, the firm attracts exceptional talent and empowers them to exceed client expectations as they navigate the dynamic demands of the clients we serve. Hear more about MGT’s culture in the words of our employees.

WHAT YOU’LL DO:

MGT is seeking a highly innovative team member to apply their passion for data to scale our impact, for good. The Senior Workforce Analytics & Modeling Analyst uses SQL, Power BI, and Excel to build repeatable models, reports, and dashboards that connect workforce, operational, and financial data to support staffing, utilization, productivity, and labor cost decisions.

This role partners closely with business stakeholders to understand needs, clarify requirements, translate broad questions into structured analytical solutions, and develop models and reports that support clear, data-informed decision making. The role also improves data quality, reporting reliability, and the systems and processes that support workforce decision making.

The ideal candidate brings strong core analytics and modeling capabilities, along with advanced SQL, Power BI, and Excel skills. They should be able to quickly learn and apply workforce metrics while working independently in a fast-paced, remote environment with U.S.-based stakeholders. Beyond reporting, this person will build scalable solutions, test hypotheses, and evaluate trade-offs.

They will also translate complex workforce, operational, and financial data into clear options, implications, risks, and recommendations..

In this role, you will:

Workforce and Business Modeling

- Partner with business stakeholders to understand needs, clarify requirements, and translate requests into models, reports, dashboards, and decision-ready analysis
- Build, document, and maintain repeatable models that connect revenue, labor cost, headcount, utilization, capacity, and workforce productivity
- Translate business questions into assumptions, scenarios, implications, and recommendation options related to staffing,



productivity, and cost
- Analyze how business performance impacts hiring needs, workforce efficiency, and cost actions
- Synthesize model outputs into decision-ready materials that clearly outline key findings, trade-offs, risks, and actions for leadership review

Workforce Analytics, Reporting, and Insight

- Apply strong analytical judgment and quickly develop fluency in workforce metrics such as headcount, turnover, labor cost, utilization, capacity, and productivity
- Write and validate SQL queries and build recurring reports, dashboards, and self-service tools in Power BI and Excel
- Validate source data, queries, calculations, and outputs to ensure reporting is accurate, consistent, and trusted
- Connect workforce, operational, and business data to identify risks, trends, and decision-making opportunities
- Distill complex analyses into transparent, executive-friendly summaries, presentations, and recommendations that support decision making

System, Process, and Quality Ownership

- Own recurring analytics, reporting, and supporting workflows end to end with limited oversight
- Independently investigate data, system, and workflow issues by identifying root causes, testing assumptions, evaluating solution paths, and resolving problems where possible
- Use sound judgment to determine when leadership input, stakeholder alignment, or formal escalation is needed; when escalating, provide evidence, actions already taken, options considered, and a recommended next step
- Apply strong attention to detail and quality control practices to ensure models, reports, dashboards, documentation, and recurring outputs are accurate, consistent, and stakeholder-ready
- Proactively identify system and process design improvements and scalable solutions that increase efficiency, reporting reliability, and operational effectiveness
- Create and maintain documentation for models, processes, reporting logic, and standard operating procedures

Automation and AI Enablement

- Use automation and AI-enabled tools to reduce manual work and improve reporting efficiency
- Identify opportunities to streamline recurring analytical and operational workflows
- Apply AI appropriately in areas such as documentation, issue triage, process mapping, and insight summarization
- Help improve how analytics and reporting work is produced, maintained, and scaled

Your Role On The Team

- Serve as a self-directed analytical partner who can move work forward independently while staying aligned with U.S.-based stakeholders and leadership priorities
- Take ownership of complex workforce, reporting, and modeling questions from intake through analysis, resolution, and communication of outcomes
- Bring leadership practical solution options, trade-offs, and recommendations while identifying more scalable ways for the team to approach recurring work




- Escalate thoughtfully when needed by clearly summarizing what was requested, what was tried, what was learned, what remains blocked, and what decision or support is needed

WHAT YOU’LL BRING:

Required

- Bachelor’s degree in analytics, business, finance, economics, information systems, HR, operations, or a related field
- 7+ years of experience in business analytics, data analytics, operational analytics, financial modeling, workforce analytics, or a related field
- Experience building repeatable analytical models and scenario analyses across business, operational, financial, or workforce data
- Advanced SQL skills, including writing, troubleshooting, and validating queries in Snowflake or another relational or cloud data environment; Snowflake-specific experience is not required
- Advanced Power BI skills, including data modeling, report and dashboard development, and data validation
- Advanced Excel skills, including complex formulas, pivot tables, model building, scenario analysis, and data validation
- Ability to quickly learn and apply workforce and HR metrics, including headcount, labor cost, turnover, hiring, utilization, capacity, and productivity
- Ability to work with business stakeholders to understand needs, translate requirements into models and reports, and generate actionable insights and recommendations
- Experience improving reporting and analytical workflows through automation, AI-enabled tools, process design, and documentation
- Strong attention to detail and commitment to producing accurate, reliable, and high-quality analytical outputs, reporting, documentation, and stakeholder-ready materials
- Strong business writing, presentation, communication, and organizational skills
- Proven ability to think critically, solve ambiguous problems independently, identify root causes, test solutions, evaluate trade-offs, and determine when escalation is needed
- Ability to translate complex analysis into clear, actionable, leadership-ready recommendations, including options, trade-offs, risks, and implications
- Strong intellectual curiosity and resourcefulness; proactively seeks answers through analysis, documentation, systems, and cross-functional context
- Expert-level English fluency and availability to work during U.S. business hours across mainland U.S. time zones

Preferred

- Master’s degree in analytics, business, finance, human resources, operations, data science, or a related field
- Relevant certifications in analytics, business intelligence, data visualization, process improvement, or project management
- Prior experience applying analytics to workforce planning, headcount, utilization, capacity, labor cost, productivity, or workforce forecasting
- Python experience for predictive analytics or advanced modeling
- Experience in professional services, consulting, managed services, staffing, or another labor-driven business model
- Experience using AI tools to improve reporting, workflow efficiency, or analytical processes
- Demonstrated success working with remote or internationally distributed teams supporting U.S.-based stakeholders, with high ownership, strong independent judgment, and proactive problem solving

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