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Predictive Analyst Jobs in Washington (NOW HIRING)

Synnex

Sr. Data Analyst

Herndon, VA · On-site

$88K - $111K/yr

Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and ... Build forecasting and predictive models to improve visibility into cloud spend, resource demand ...

Bigbear.ai

Compensation Analyst

Mclean, VA · On-site

$77K/yr

Advanced data and predictive analytics skills, with experience using Excel, Power BI and Workday Advanced Compensation * Familiarity with equity award programs, vesting schedules, and related tax ...

Ardent

Cybersecurity Analytics Lead

Washington, DC · On-site

Support fraud analytics, predictive analytics, and forensic analysis activities across enterprise environments. * Conduct analysis of structured and unstructured data to identify suspicious or ...

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All JobsPredictive Analyst JobsPredictive Analyst Jobs in Washington

Predictive Analyst information

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$14

$49

$85

How much do predictive analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for predictive analyst in Washington is $49.36, according to ZipRecruiter salary data. Most workers in this role earn between $32.52 and $62.97 per hour, depending on experience, location, and employer.

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What are the key skills and qualifications needed to thrive as a predictive analyst?

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

How do you become a predictive analyst?

To become a predictive analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or data science. Developing skills in programming languages such as Python or R, understanding machine learning techniques, and gaining experience with data analysis tools are essential. Earning certifications in data analytics or machine learning can also enhance job prospects.

What are popular job titles related to Predictive Analyst jobs in Washington?

For Predictive Analyst jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Predictive Analyst jobs in Washington look for?

The top searched job categories for Predictive Analyst jobs in Washington are:

Predictive Analyst jobs near you
Infographic showing various Predictive Analyst job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 2% Temporary, and 9% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $102,660 per year, or $49.4 per hour.

Workforce Modeling & Data Analyst

Golden Key Group

Washington, DC • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

About GKG

With a passion for excellence, Golden Key Group (GKG) helps clients solve their strategic, organizational, and operational challenges to better meet their mission demands.  We have serviced more than 25 Federal departments and agencies and several large commercial companies since our inception in 2002.

Golden Key Group's talented professionals, combined with our strategic partners, bring a depth of commercial and government experience and expertise.  We are relentless in delivering the highest levels of services to provide tangible value and create sustainable results for our clients.

Overview

The Workforce Modeling & Data Analyst will serve as a mid to senior-level analytic resource supporting development of the Human Capital Strategic Plan, Human Capital Operating Plan, and Workforce Growth Plan. The analyst will interpret workforce staffing model data, historical workforce information, predictive analytics outputs, labor market inputs, and stakeholder-provided information to develop annual staffing targets, workforce projections, dashboards, and model-driven analytic products. This role will translate data into practical workforce planning insights that support staffing targets, surge and readiness requirements, workforce growth recommendations, performance monitoring, and senior leadership decision-making.

The selected individual will have the option to work remotely however will need to be local for onsite mandatory meetings in D.C.

Note** This position is being recruited in support of potential future contract awards, and qualified candidates may be considered for upcoming opportunities supporting federal government clients.

Responsibilities

The analyst will review background documentation and workforce data, identify gaps in available information, and document sources, assumptions, limitations, and methodologies used in the analysis. The analyst will develop staffing tables by job category and year, summarize planned growth and surge requirements, and prepare dashboards, briefing materials, and analytic narratives that support the Workforce Growth Plan, the environmental scan and workforce analysis sections of the HCSP, and the metrics and workforce risk elements of the HCOP. The analyst will also support analysis of workforce demographics, attrition and retirement projections, hiring trends, skills gaps, geographic staffing challenges, labor market conditions, and other factors needed to produce actionable, measurable, data-informed deliverables.

Qualifications
  • The minimum qualifications for this role include a bachelor's degree in human capital analytics, workforce planning, statistics, economics, public administration, business analytics, data science, industrial-organizational psychology, human resources, or a related discipline.
  • The candidate should have mid to senior-level experience supporting workforce analytics, workforce planning, staffing projections, data visualization, organizational planning, or related human capital analysis.
  • The candidate must be able to analyze workforce information, develop tables and dashboards, document analytic assumptions, and convert data findings into executive-ready planning recommendations.
  • Familiarity with federal human capital programs, staffing, recruitment, retention, workforce planning, or mission support operations is strongly preferred. The candidate must be a U.S. citizen and able to complete required suitability or security screening before accessing sensitive but unclassified information.
Desired Qualifications
  • The ideal candidate will hold a master's degree in analytics, workforce planning, public administration, human resources, organizational development, industrial-organizational psychology, statistics, or a related field.
  • The ideal candidate will have senior-level experience supporting federal workforce planning or human capital strategy engagements, including development of annual and multi-year workforce projections for complex organizations.
  • Experience using predictive analytics, trend analysis, attrition modeling, retirement eligibility analysis, labor market analysis, scenario planning, Power BI, Tableau, Excel, statistical software, or comparable visualization and analytic tools is highly desirable.
  • Experience supporting law enforcement, DHS, national security, or other federal operational workforce environments would further strengthen alignment to the solicitation.
Employment Type: FULL_TIME

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