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Data Analytics Manager Jobs in Virginia (NOW HIRING)

Capital One

Senior Manager, Data Analytics

Mclean, VA · On-site

Senior Manager, Data Analytics At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will ...

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Sallie_mae

Manager, Data Analytics

Sterling, VA

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

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Data Analytics Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data analytics manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analytics manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Virginia? The most popular types of Data Analytics jobs in Virginia are:
What are popular job titles related to Data Analytics Manager jobs in Virginia? For Data Analytics Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Virginia look for? The top searched job categories for Data Analytics Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics Manager jobs? Cities in Virginia with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Data Analytics Manager II (Sales)

Data Analytics Manager II (Sales)

Bloomberg Industry Group

Arlington, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

You will play a pivotal role in continued growth across Bloomberg Industry Group's flagship products through in-depth analysis of sales strategies and serving as a trusted advisor to the CRO and other key stakeholders across the organization. You will bring a wealth of experience in sales and strategic analytics, and project management and will be eager to dive in and add value in a diverse, fast paced, and collaborative environment.

What you will do:

  • Analyze and advise on the business impact of strategic policies and identify drivers behind performance changes. Prepare presentations to communicate actionable results to leadership, and recommend strategic changes as needed.

  • Develop and refine data modeling to support accurate sales forecasting and scenario planning.

  • Leverage technical understanding and business acumen to translate high-level business requirements into technical and functional specifications to develop reporting & analytics.

  • Build, automate, and maintain data-driven dashboards and reports that track critical sales KPI's, pipeline, dynamics, forecasting accuracy, and performance trends.

  • Perform advanced data analyses - predictive modeling, segmentation and trend analysis

  • Collaborate with all parts of the business, including senior leadership to successfully design, manage, implement and sustain initiatives.

  • Prepare presentations to communicate actionable results to leadership, and recommend strategic changes as needed.

  • Identify business challenges and opportunities for improvement, evaluate impact to the business, and propose strategic solutions.

You need to have:

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

  • Strong experience with technical tools such as SQL, Python, or R.

  • Bachelor's degree with courses in business, mathematics, statistics or appropriate combination of education and experience required. Master's degree preferred.

  • 5 years' experience in data analysis, business analysis, and/or revenue analytics

  • Experience working in a subscription-based business is a plus

  • Experience with managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data.

  • Ability to translate complex concepts and issues into insights for business leaders and non-technical audiences.

Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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