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Product Analytics Manager Jobs in Virginia (NOW HIRING)

Manager, Marketing Analytics

Richmond, VA ยท On-site

$102K - $163K/yr

As a Manager in Marketing Analytics, you will partner with channel marketing managers, media ... Help sharpen our strategy through data-driven insights, vetting new products and platforms, and ...

As a Manager in Marketing Analytics, you will partner with channel marketing managers, media ... Helpsharpenour strategythroughdata-driven insights, vettingnew products andplatforms ...

As a Manager in Marketing Analytics, you will partner with channel marketing managers, media ... Help sharpen our strategy through data-driven insights, vetting new products and platforms, and ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... Guide development of analytics products, dashboards, reports, and visualization tools that provide ...

Meticulous attention to detail and quality of work product * Ability to build and sustain ... Experience analyzing or managing accounting, financial or transactional data * Strong understanding ...

Showing results 41-60

Product Analytics Manager information

See Virginia salary details

$51.1K

$158K

$195.3K

How much do product analytics manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for product analytics manager in Virginia is $158,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,800.00 and $195,300.00 per year, depending on experience, location, and employer.

What is a product analytics manager?

Product Analytics Managers are professionals responsible for analyzing data related to a company's products to inform decision-making and strategy. They help teams understand user behavior, product performance, and market trends by leveraging data analysis and visualization tools. Their insights guide product development, feature prioritization, and business growth. Typically, they collaborate with product managers, engineers, designers, and business stakeholders to ensure that data-driven decisions are at the heart of product strategy.

What are the key skills and qualifications needed to thrive as a product analytics manager?

To thrive as a Product Analytics Manager, you need expertise in data analysis, statistical modeling, and product strategy, often backed by a degree in a quantitative field and experience in analytics roles. Proficiency with analytics tools such as SQL, Python, Tableau, and product analytics platforms like Mixpanel or Amplitude is typically required. Strong communication, problem-solving, and stakeholder management skills help translate data insights into actionable product improvements. These skills are essential for driving data-informed decisions that enhance product performance and align with business goals.

What are some common challenges faced by product analytics managers when aligning data insights with product strategy?

Product Analytics Managers often encounter challenges in translating complex data findings into actionable insights that resonate with both technical and non-technical stakeholders. Balancing immediate product needs with long-term strategic goals can require prioritizing certain analyses and recommendations over others. Additionally, ensuring data quality and consistency across multiple sources can be demanding, especially in fast-paced environments where product features and user behaviors evolve quickly. Effective communication and collaboration with product managers, engineers, and designers are essential to drive data-informed decisions that support overall product growth.

What is the difference between Product Analytics Manager vs Data Analyst?

AspectProduct Analytics ManagerData Analyst
Required credentialsBachelor's/Master's in Business, Analytics, or related fields; experience with analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work environmentCollaborates with product teams, marketing, and engineeringSupports various departments with data insights
Industry usageCommon in tech, e-commerce, SaaS companiesWidespread across industries including finance, healthcare, retail

The Product Analytics Manager focuses on analyzing product performance and user behavior to inform product development, while the Data Analyst provides broader data insights across departments. Both roles require strong analytical skills and familiarity with data tools, but the Product Analytics Manager has a more specialized focus on product metrics and strategy.

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

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

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

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

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

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

What cities in Virginia are hiring for Product Analytics Manager jobs?

Cities in Virginia with the most Product Analytics Manager job openings:

Infographic showing various Product Analytics Manager job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $158,037 per year, or $76 per hour.

Technical Analytics Manager / Lead Data Scientist (Fraud Analyti with Security Clearance

Praescient Analytics

Fairfax, VA โ€ข On-site

Other

Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description


Location: Remote (Occasional Travel May Be Required) Clearance: Ability to obtain and maintain a Public Trust Position Overview Praescient Analytics is seeking a highly skilled Technical Analytics Manager / Lead Data Scientist to provide technical leadership for a federal fraud analytics and investigative support program. This individual will serve as the technical authority responsible for designing innovative analytic approaches, developing advanced fraud detection models, leading model validation and quality assurance activities, and ensuring the successful delivery of reliable, defensible, and repeatable analytic solutions supporting federal oversight organizations. The ideal candidate is a hands-on technical leader who combines deep data science expertise with strong leadership skills. They will guide multidisciplinary technical teams through the full analytics lifecycle, from ideation and data exploration to model development, testing, deployment, and continuous improvement, while mentoring technical staff and collaborating closely with Government stakeholders, investigators, and program leadership. Key Responsibilities * Lead the design, development, testing, validation, deployment, and continuous improvement of advanced fraud detection and investigative analytics solutions.
* Develop innovative analytic approaches to identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs.
* Design and implement analytic rules, machine learning models, artificial intelligence (AI) solutions, natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, risk scoring, and other advanced analytic capabilities.
* Lead technical teams responsible for model development, experimentation, quality assurance, documentation, and production deployment.
* Perform hands-on development of analytic models using open-source programming languages, frameworks, and data science tools.
* Conduct exploratory data analysis, feature engineering, data profiling, model evaluation, and performance optimization across complex datasets.
* Establish and oversee rigorous quality control processes to ensure analytic outputs are accurate, reliable, repeatable, and fully documented prior to Government delivery.
* Review technical work products, source code, analytic methodologies, and model outputs produced by contractor support teams.
* Identify technical risks, recommend mitigation strategies, and ensure timely delivery of high-quality analytic products.
* Collaborate with Project Managers, Data Engineers, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Government stakeholders throughout the project lifecycle.
* Present analytic methodologies, technical findings, model performance, and recommendations to Government leadership, investigators, and oversight organizations.
* Support Agile delivery through sprint planning, backlog refinement, technical demonstrations, and iterative model development. Required Qualifications * Must have experience with Fraud Analysis
* Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools and best practices.
* Five (5) or more years of experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control.
* Demonstrated experience ideating innovative analytic use cases to detect and prevent fraud, waste, abuse, and mismanagement.
* Five (5) or more years of experience tracking project progress, identifying technical risks, and delivering high-quality analytic solutions on schedule.
* Five (5) or more years of experience reviewing contractor-developed analytic models, code, methodologies, and work products prior to final delivery.
* Five (5) or more years of hands-on experience developing analytic rules and models using open-source programming languages and frameworks.
* Strong written, verbal, presentation, and technical communication skills.
* Demonstrated ability to lead technical teams while remaining actively engaged in hands-on analytics development. Preferred Qualifications Preference will be given to candidates with demonstrated experience in one or more of the following areas: * Developing fraud detection, fraud prevention, and program integrity analytics supporting pandemic relief, emergency assistance, grants, loans, healthcare, unemployment insurance, disaster relief, financial assistance, or other high-volume federal benefit programs.
* Designing, developing, validating, deploying, and maintaining advanced analytic models utilizing machine learning, artificial intelligence (AI), natural language processing (NLP), anomaly detection, entity resolution, graph analytics, link analysis, knowledge graphs, risk scoring, or robotic process automation (RPA).
* Applying open-source programming languages and frameworks such as Python, SQL, Spark, Pandas, Scikit-learn, TensorFlow, PyTorch, or comparable data science technologies.
* Developing analytics within cloud-native environments utilizing Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake, Power BI, Neo4j, Git repositories, Lakehouse architectures, or enterprise data catalogs.
* Working with large-scale public, non-public, commercial, financial, and law enforcement datasets to identify organized fraud rings, synthetic identities, duplicate entities, eligibility issues, and emerging fraud schemes.
* Conducting exploratory data analysis, data profiling, feature engineering, model validation, performance testing, and quality assurance throughout the analytics lifecycle.
* Supporting Offices of Inspector General (OIGs), law enforcement organizations, oversight agencies, or program integrity initiatives through advanced analytic solutions.
* Developing reproducible analytic workflows that emphasize governance, documentation, transparency, explainability, and enterprise data management best practices.
* Leading technical reviews, mentoring data scientists, and establishing quality standards for analytic products delivered to Government customers. What We're Looking For We're looking for a technical leader who enjoys solving complex fraud detection challenges while remaining actively involved in hands-on analytics development. The ideal candidate is equally comfortable writing code, designing machine learning models, reviewing technical work products, mentoring fellow data scientists, and briefing analytic findings to senior Government stakeholders. They combine innovative thinking with disciplined engineering practices to ensure every analytic solution is technically sound, operationally effective, and capable of supporting real-world investigative and oversight missions. What you can expect from us: * Real opportunity for career growth in an environment where your achievements will be celebrated
* Constant collaboration with numerous teams to ensure client success
* A team that respects and embraces your ideas and expertise
* Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
* A workplace dedicated to supporting and bettering public safety and government agencies Benefits: * Competitive salary based on qualifications and experience
* Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
* 401(k) with company match
* Travel & performance incentives
* 3 weeks paid time off (plus Federal Holidays)
* $5K annual training allowance
* $500 book allowance
* Tuition reimbursement program Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law. Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescientโ€™s employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to  and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings. Apply Now ยฉ 2025, Praescient Analytics. All Rights Reserved. (703) 739-2110 8280 Willow Oaks Corporate Dr., Suite 610 Fairfax, VA 22031 (703) 739-2110 8280 Willow Oaks Corporate Dr., Suite 610 Fairfax, VA 22031 ยฉ 2025, Praescient Analytics. All Rights Reserved.