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Predictive Analytics Jobs in Virginia (NOW HIRING)

Accenture Federal Services

Data Analyst

Arlington, VA · On-site

... and predictive analytics, integrating data from various sources to uncover correlations and forecast future needs. Validate data accuracy, document processes, and provide insights to support data ...

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Predictive Analytics information

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$26.8K

$111.8K

$198.8K

How much do predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for predictive analytics in Virginia is $111,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,900.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Virginia?

The most popular types of Predictive Analytics jobs in Virginia are:

What are popular job titles related to Predictive Analytics jobs in Virginia?

For Predictive Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Virginia look for?

The top searched job categories for Predictive Analytics jobs in Virginia are:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $111,755 per year, or $53.7 per hour.

Staff II - Fraud Analytics Consultant (Senior Consultant)

Arlington, VA • On-site

Guidehouse
Business Management Consulting • 10K+ employees
Learn more about Guidehouseexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
The Staff II Fraud Analytics Consultant will contribute complex and detailed analysis in support of advanced analytics, fraud detection, cybersecurity monitoring, and investigative activities as part of a multidisciplinary team. This position will work with data scientists, fraud analysts, cybersecurity professionals, engineers, and client stakeholders to support fraud prevention, detection, response, and continuous improvement initiatives while documenting work for use by the broader project team.
  • Analyze structured and unstructured datasets to identify anomalous, malicious, or fraudulent patterns and activities.

  • Perform complex analysis and support development, refinement, testing, and documentation of predictive analytics models, fraud indicators, detection logic, and analytical methodologies used to identify anomalous or potentially fraudulent activity.

  • Provide analytical guidance to project teams and collaborate directly with stakeholders to evaluate findings, refine analytical approaches, and support operational decision-making.

  • Experience independently performing complex analytical assignments and presenting findings and recommendations to technical and non-technical stakeholders.

  • Perform investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.

  • Support data extraction, transformation, loading, and data quality activities that enable analytics and reporting.

  • Assist with collection, integration, validation, and quality assessment of large and diverse data sources.

  • Support development of fraud indicators, detection logic, business rules, and analytical algorithms to improve monitoring and investigation capabilities.

  • Conduct data mining, link analysis, behavioral analysis, and pattern recognition activities to support operational decision-making.

  • Develop recurring and ad hoc analytical products, technical reports, dashboards, briefings, presentations, and executive summaries.

  • Collaborate with stakeholders, technical teams, and business representatives to gather requirements, interpret findings, and support implementation of recommended actions.

  • Participate in incident response, threat analysis, and investigative activities related to identified cyber and fraud events.

  • Support continuous enhancement of analytics capabilities through research, testing, and application of emerging analytical techniques, technologies, and best practices.

  • Document analytical methodologies, findings, procedures, and work products to support knowledge sharing and operational continuity.

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

What You Will Need:
  • Ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.

  • SIX (6) or more years of professional experience supporting data analytics, fraud analytics, cybersecurity analytics, data science, business intelligence, investigations, or a related technical discipline.

  • Experience analyzing large datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques.

  • Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.

  • Experience working with SQL and data analysis tools to query, manipulate, and analyze data.

  • Experience supporting data integration, data preparation, ETL activities, or data quality initiatives.

  • Experience effectively communicating technical findings to both technical and non-technical audiences.

  • Experience working independently while contributing to cross-functional project teams.

  • Ability and willingness to work onsite at the client location in Verbal and Written Communication Skills

  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

What Would Be Nice To Have :
  • Experience supporting fraud analytics, cybersecurity, financial crime, digital identity, insider threat, or risk analytics programs.

  • Experience developing, refining, or validating predictive models, statistical models, fraud indicators, or analytical methodologies.

  • Experience with Python, R, Java, SQL, or similar analytics and programming languages.

  • Experience with big data platforms and technologies such as Spark, Elasticsearch, Hadoop, or cloud-based analytics environments.

  • Experience with SIEM platforms, including Splunk, or related cybersecurity monitoring technologies.

  • Experience performing link analysis, behavioral analytics, graph analytics, or network analytics.

  • Experience supporting incident response, investigations, or threat intelligence activities.

  • Experience developing dashboards and visualizations using Power BI, Tableau, Spotfire, or similar tools.

  • Familiarity with Agile delivery methodologies and collaborative development environments.

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation (MBI) clearance or has held one within the last six (6) months.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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