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Analytics Manager Jobs in Virginia (NOW HIRING)

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Elevance Health

Healthcare Analytics Manager

Norfolk, VA · On-site

$111K - $167K/yr

The Healthcare Analytics Manager employs advanced analytics to gain critical insights into member behavior drivers and preferences, product/program concepts and value propositions, operational ...

Posted today

Reingold Inc

Digital Analytics Manager

Alexandria, VA · On-site

Lead the rollout of analytics solutions on clients' digital platforms using tag managers or similar technologies (e.g., Adobe Launch/Data Collection, Tealium IQ, Google Tag Manager) and, where ...

Reingold Inc

Digital Analytics Manager

Alexandria, VA · On-site

Lead the rollout of analytics solutions on clients' digital platforms using tag managers or similar technologies (e.g., Adobe Launch/Data Collection, Tealium IQ, Google Tag Manager) and, where ...

Citizens

Fraud Risk Analytics Manager

Glen Allen, VA · Hybrid

$106K - $130K/yr

... management, and product experiences. The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge ...

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All JobsAnalytics JobsAnalytics Manager JobsAnalytics Manager Jobs in Virginia

Analytics Manager information

See Virginia salary details

$63.9K

$124.3K

$177.5K

How much do analytics manager jobs pay per year?

As of Jul 29, 2026, the average yearly pay for analytics manager in Virginia is $124,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $147,700.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an Analytics Manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.
More about Analytics Manager jobs
What are the most commonly searched types of Analytics jobs in Virginia? The most popular types of Analytics jobs in Virginia are:
What are popular job titles related to Analytics Manager jobs in Virginia? For Analytics Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Analytics Manager jobs in Virginia look for? The top searched job categories for Analytics Manager jobs in Virginia are:
What cities in Virginia are hiring for Analytics Manager jobs? Cities in Virginia with the most Analytics Manager job openings:
What are popular job titles related to Analytics Manager jobs in VA? For Analytics Manager jobs in VA, the most frequently searched job titles are:
Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,251 per year, or $59.7 per hour.

Analytics Manager/AI ML system analyst

SanKar Inc

Woodbridge, VA • On-site

Other

Posted 9 days ago

Job description

Position 1 – Analytics Manager
Position 2 - Artificial Intelligence/Machine Learning system Analyst 
Location – Woodbridge VA, 22192 (Hybrid)
Type – Contract to hire 
 
 
Job Description
 
Position 1 – Analytics Manager
 
Job Description – Analytics Manager
Position Summary
Client is seeking a highly motivated Analytics Manager to lead the organization''s analytics initiatives and support data-driven decision-making across business functions. In this role, the ideal candidate will partner closely with business leaders, Information Technology, Data Management teams, and cross-functional stakeholders to define analytics strategies, oversee business intelligence solutions, manage analytics projects, and drive the adoption of advanced analytics and AI capabilities.
The Analytics Manager will be responsible for leading the development of dashboards, reports, predictive analytics initiatives, and data governance practices while ensuring high-quality, reliable, and actionable business insights. The ideal candidate will possess strong analytical expertise, leadership skills, and experience managing analytics teams, enterprise reporting platforms, and cloud-based analytics solutions, particularly within the Microsoft Azure ecosystem.
Position Responsibilities
  • Lead the organization''s analytics strategy and roadmap to support business objectives and operational excellence.
  • Manage and mentor a team of data analysts, BI developers, and analytics professionals.
  • Collaborate with executive leadership and business stakeholders to identify analytical opportunities and prioritize initiatives.
  • Translate business requirements into scalable analytics solutions and actionable insights.
  • Oversee the design, development, and maintenance of enterprise dashboards, reports, and KPI frameworks using Microsoft Power BI.
  • Ensure the accuracy, consistency, and governance of enterprise reporting and analytics solutions.
  • Partner with data engineering and AI/ML teams to integrate predictive models and AI-driven insights into business processes.
  • Monitor analytics performance, data quality, and reporting effectiveness across business functions.
  • Drive self-service analytics adoption by establishing best practices, standards, and user enablement programs.
  • Lead cross-functional analytics projects from planning through implementation and post-deployment support.
  • Collaborate with IT teams to optimize data pipelines, integrations, and cloud-based analytics environments.
  • Support data governance, master data management, and enterprise data quality initiatives.
  • Develop executive-level presentations, reports, and performance scorecards to communicate business insights.
  • Evaluate emerging analytics technologies, AI capabilities, and industry trends to drive continuous innovation.
  • Ensure compliance with organizational security, privacy, and data governance policies.
  • Manage analytics project timelines, budgets, vendor relationships, and resource allocation.
  • Perform other related duties and responsibilities as assigned.
Required Qualifications
  • Bachelor''s degree in Data Analytics, Data Science, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
  • Master''s degree preferred.
  • 6–8+ years of experience in business analytics, business intelligence, data analytics, or related disciplines.
  • 2–4+ years of experience leading analytics teams or managing analytics projects.
  • Strong experience with Microsoft Power BI, including dashboard development, data modeling, DAX, and report optimization.
  • Experience working with SQL databases such as MySQL, PostgreSQL, SQL Server, or Oracle.
  • Experience working with cloud analytics platforms, preferably Microsoft Azure.
  • Working knowledge of AI/ML concepts and the ability to collaborate with data science teams on predictive analytics initiatives.
  • Experience with ETL processes, data integration, and enterprise data warehouse environments.
  • Strong understanding of KPI development, business performance measurement, and executive reporting.
  • Experience with data governance, data quality, and metadata management practices.
  • Familiarity with Azure Data Factory, Azure Synapse Analytics, Azure Machine Learning, or similar cloud services is preferred.
  • Knowledge of Python or R for analytics is considered an advantage.
  • Experience with Agile project delivery methodologies is preferred.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication, presentation, and stakeholder management abilities.
  • Demonstrated leadership, mentoring, and team development experience.
Preferred Skills
  • Microsoft Power BI Certification.
  • Azure Data Engineer Associate or Azure Data Analyst Associate certification.
  • Experience with Microsoft Fabric is preferred.
  • Familiarity with Microsoft Copilot, AI-driven analytics, and Generative AI applications.
  • Experience with Dell Boomi or other enterprise integration platforms.
  • Knowledge of REST APIs and enterprise application integrations.
  • PMP, Scrum Master, or other project management certifications are a plus.
Key Competencies
  • Strategic Thinking
  • Business Acumen
  • Data-Driven Decision Making
  • Leadership & Team Management
  • Stakeholder Relationship Management
  • Project & Program Management
  • Data Visualization & Storytelling
  • Performance Measurement & KPI Management
  • AI & Advanced Analytics Awareness
  • Problem Solving
  • Communication & Presentation Skills
  • Change Management
  • Collaboration & Cross-Functional Leadership
 
Position 2 - Artificial Intelligence/Machine Learning system Analyst 
 
Client is seeking a highly motivated System Analyst to join the Data Management team. In this role, the ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject-matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives, as well as have experience collecting stakeholder requirements, translating requirements into an actionable plan and developing data visualizations using tools like Microsoft PowerBI. The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks and have experience in developing ML models and AI agents using Python, as well as being familiar with the Microsoft Azure environment
 
Position Responsibilities
 
  • Design, build and optimize machine learning models and configure data pipelines to source data from various business systems.
  • Collaborate with functional experts to understand requirements and translate them into  technical solutions.
  • Develop and deploy models in production environments.
  • Monitor and maintain deployed models to ensure accuracy, performance and reliability.
  • Work with datasets and cloud platforms to build efficient data pipelines.
  • Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
  • Write clean, maintainable and well-documented code following software engineering best practices.
  • Participate in code reviews, design discussions and team collaborations to improve overall software quality.
  • Develop and maintain reports based on stakeholders’ requirements by using Power BI  application.
  • Support self-service dashboards across the organization.
  • Assist in the configuration and management of Dell Boomi integrations, database/system  connections.
  • Perform other related duties and activities, as needed.
 
Required Skills
  • Bachelor’s degree in Data Science or a related field. Master’s degree preferred.
  • 2+ years of experience in AI/ML development, including model design, training and deployment.
  • Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit-learn or similar.
  • Knowledge of Azure subscription, Azure Machine Learning workspace and Azure App Services.
  • Experience with GitHub for codes version controls.
  • Experience with databases like MySQL, PostgreSQL, etc.
  • Knowledge of RESTful APIs and microservices architecture.
  • Familiarity with server-side security best practices and implementation.
  • Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment.
  • Strong communication skills and the ability to translate complex concepts into clear solutions.
 
Physical Demands and work environment:
The physical demands and work environment characteristics described here are representative of those
that must be met by an employee to successfully perform the essential functions of this job. Reasonable
accommodation may be made to enable individuals with disabilities to perform the essential functions.
 
Physical demands: The work is mostly sedentary with periods of light physical activity. Typical
positions require workers to stand for short periods; lift and carry up to 20 pounds; climb stairs,
bend, reach, hold, grasp, and turn objects; and operate computer or typewriter
keyboards. Work requires the ability to speak normally and to use normal or aided vision and
hearing.
 
Work environment: Primary work is performed indoors in a standard office seeing. The noise
level in the work environment is usually moderate. Work is subject to frequent interruptions.

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