Pay
$94.1K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,018 postings in the last year. Stated ranges, not salaries paid.
Associate II - Fraud Analytics Consultant (Senior Consultant)
US - VA, Arlington
Live, first seen by us 86 days ago- Pay
- Pay not listedSimilar roles state $94K–$145K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingSupport data preparation, transformation, and quality review activities used in analytics and reporting processes.
Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity.
Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.
From the employer’s posting
The Associate II Fraud Analytics Consultant will support fraud analytics, data review, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data, support assigned data preparation and quality review activities, assist with analytical work products, and contribute to recurring and ad hoc fraud analytics tasks under regular review. Support data preparation, transformation, and quality review activities used in analytics and reporting processes. Assist with testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance from senior team members.
Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope. Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity. Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.
Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity. Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings. Contribute to data mining, pattern recognition, link analysis, behavioral analysis, and basic statistical analysis activities that support operational decision-making.
What you’ll bring
All qualificationsCore experience
- 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 related field.
- Experience supporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.
- Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques.
- Experience working with SQL and data analysis tools to query, manipulate, and analyze data.
- Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.
Preferred experience
- Experience supporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs.
- Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.
- Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.
- Experience supporting data preparation, data quality review, reporting, dashboarding, or analytical work products.
Qualification wording
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 related field.
Experience supporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.
Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques.
Experience working with SQL and data analysis tools to query, manipulate, and analyze data.
Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.
Experience supporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs.
Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.
Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.
Experience supporting data preparation, data quality review, reporting, dashboarding, or analytical work products.
Education & alternatives
- 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 related field. - Four (4) or more years of professional experience supporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, or a related analytical discipline.
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 17, 202686 days ago
- Recorded sightings
- 175
- Last seen by us
- Nov 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 86
Up longer than most. Similar jobs usually come down between day 5 and day 43.
Well past Guidehouse’s usual: its jobs come down by about day 30.
From 13,669 similar postings that came down, and 149 of Guidehouse’s. Coming down is not always a hire.
Guidehouse is hiring
102 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Excel
- Power BI
- Tableau
Where the posting names them
- Experience supporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs. - Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies. - Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.
- Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques. - Experience working with SQL and data analysis tools to query, manipulate, and analyze data. - Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.
- Experience supporting data preparation, data quality review, reporting, dashboarding, or analytical work products. - Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools. - Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.
Your next step
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
The Associate II Fraud Analytics Consultant will support fraud analytics, data review, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data, support assigned data preparation and quality review activities, assist with analytical work products, and contribute to recurring and ad hoc fraud analytics tasks under regular review.
Support data preparation, transformation, and quality review activities used in analytics and reporting processes.
Assist with testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance from senior team members.
Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope.
Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity.
Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings.
Contribute to data mining, pattern recognition, link analysis, behavioral analysis, and basic statistical analysis activities that support operational decision-making.
Support analysis of transactional, behavioral, and system activity data to identify trends and indicators requiring further review.
Document technical processes, analytical methods, data assumptions, findings, and work products to support knowledge sharing and operational continuity.
Coordinate with technical teams, analysts, engineers, and client stakeholders to clarify requirements, exchange information, and support delivery of assigned tasks.
Prepare reports, dashboards, briefings, presentations, and technical documentation that communicate analytical findings to technical and non-technical audiences.
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 related field.
Four (4) or more years of professional experience supporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, or a related analytical discipline.
Experience supporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development.
Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques.
Experience working with SQL and data analysis tools to query, manipulate, and analyze data.
Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making.
Experience communicating technical findings to technical and non-technical audiences.
Experience applying independent judgment to evaluate options, follow standard principles and techniques, and recommend appropriate solutions for assigned work.
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, financial crime, digital identity, risk analytics, investigations, or business intelligence programs.
Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.
Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities.
Experience supporting data preparation, data quality review, reporting, dashboarding, or analytical work products.
Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.
Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation 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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
US - VA, Arlington
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.