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Data Analytics Marketing Jobs in Virginia (NOW HIRING)

Bloomberg BNA

Data Analytics Manager, Senior

Arlington, VA · On-site

$130 - $170/hr

... Marketing, Sales, Customer Success and related teams. * 3+ years of experience presenting insights to senior leadership or high-level audiences. * Strong experience in product analytics, sales ...

3M HEALTHCARE

Data Analytics Consultant

Arlington, VA · On-site

$60 - $85/hr

None What You Will Do As a Consultant you will have the daily responsibility to analyze client data ... marketing material. You will be expected to prepare and communicate well-organized, effective ...

New

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 ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

Partner Marketing Analytics Measure the impact of partner-driven campaigns and initiatives on new ... Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

Partner Marketing Analytics Measure the impact of partner-driven campaigns and initiatives on new ... Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related ...

Workiva

Spring 2027 Intern - Data Analytics

Hampton, VA · On-site +1

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

Workiva

Spring 2027 Intern - Data Analytics

Hampton, VA · On-site +1

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

Workiva

Spring 2027 Intern - Data Analytics

Richmond, VA · On-site +1

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

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All JobsData Analytics Marketing JobsData Analytics Marketing Jobs in Virginia

Data Analytics Marketing information

See Virginia salary details

$66.9K

$97K

$118.5K

How much do data analytics marketing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analytics marketing in Virginia is $96,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $106,600.00 per year, depending on experience, location, and employer.

What is data analytics marketing?

Data Analytics Marketing is the practice of using data analysis techniques to evaluate marketing strategies, campaigns, and customer behaviors. Professionals in this field collect and interpret data from various sources to inform marketing decisions, optimize campaigns, and improve ROI. By leveraging tools like Google Analytics, CRM systems, and machine learning, data analytics marketers can identify trends, segment audiences, and measure the effectiveness of different marketing activities. This approach helps businesses to make data-driven decisions and tailor their strategies for better outcomes.

What are the key skills and qualifications needed to thrive as a data analytics marketing professional?

To thrive as a Data Analytics Marketing professional, a strong background in data analysis, marketing principles, and a relevant degree in marketing, statistics, or business is essential. Familiarity with analytics tools such as Google Analytics, Tableau, SQL, and digital marketing platforms is typically required, along with certifications like Google Analytics Individual Qualification (GAIQ). Analytical thinking, creativity, and effective communication are important soft skills for translating data insights into actionable marketing strategies. These skills and qualities are crucial for optimizing campaigns, measuring ROI, and driving data-driven decision-making in competitive marketing environments.

How do data analytics marketing professionals typically collaborate with other departments to drive campaign success?

Data Analytics Marketing professionals work closely with teams such as product management, sales, creative, and IT to ensure that marketing strategies are data-driven and effective. They often translate complex data insights into actionable recommendations, enabling creative teams to design targeted campaigns and sales teams to focus on high-potential leads. Regular meetings, shared dashboards, and collaborative planning sessions are common methods of cross-departmental teamwork. This collaborative environment helps ensure that marketing initiatives are aligned with overall business goals and customer needs.

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

AspectData Analytics MarketingData Analyst
Primary FocusUsing data to optimize marketing strategies and campaignsAnalyzing data across various business functions to support decision-making
Skills & CertificationsMarketing analytics tools, digital marketing certifications, data analysisStatistical analysis, SQL, Excel, data visualization
Work EnvironmentMarketing teams, digital agencies, advertising departmentsBusiness intelligence teams, data departments, various industries
Industry UsageMarketing and advertising sectorsMultiple industries including finance, healthcare, tech

While both roles involve data analysis, Data Analytics Marketing specifically focuses on leveraging data to improve marketing efforts, whereas Data Analysts support broader business decisions across various departments.

Can data analytics be used in marketing?

Data analytics is a key component of marketing roles such as Data Analytics Marketing, enabling professionals to analyze customer data, measure campaign performance, and identify market trends. Skills in tools like Excel, SQL, and visualization software are often required to interpret data effectively and inform marketing strategies.

What does a data analytics marketing do in marketing?

A data analytics marketing professional analyzes large sets of marketing data to identify trends, measure campaign performance, and inform strategic decisions. They often use tools like Excel, SQL, or marketing analytics platforms to optimize marketing efforts and improve ROI.

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

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

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

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

Data Analytics Marketing jobs near you
Infographic showing various Data Analytics Marketing job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $96,994 per year, or $46.6 per hour.

Data Analytics Manager, Senior

Bloomberg Industry Group

Arlington, VA • On-site

$130K - $170K/yr

Other

Posted 18 days ago

Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to develop and scale the enterprise analytics platform and capabilities, improve self-service access to product usage insights, and ensure consistent interpretation of product performance across the business. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:

  • Serve as a key Product Analytics point of contact for Amplitude platform enablement, including Guides & Surveys, documentation, governance, best practices, and support for broader cross-functional use cases.
  • Partner with Product, Personalization and Engineering teams to support the use of behavioral data within product experiences, including personalization, onboarding and in-product engagement capabilities.
  • Own the ongoing evolution of customer usage reporting capabilities, monitoring and triaging incoming requests and partnering with Sales and Customer Success to identify recurring and changing business needs, prioritize enhancements, and expand self-service access to trusted customer usage data and insights.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • Lead the end-to-end analytics process for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
  • Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
  • Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user engagement of relevant system.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
  • Champion responsible data use, ensuring adherence to internal policies and external regulations.

You need to have:

  • Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 7+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 4+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience uncovering product analytics insights that inform cross-functional initiatives, shape hypotheses, and support strategic and operational decision-making across Product, Marketing, Sales, Customer Success and related teams.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Experience working with Databricks or similar data platforms to access, analyze, and operationalize data across multiple sources and surfaces.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Demonstrated ability to conduct stakeholder discovery, identify recurring business needs, prioritize analytics capabilities, and translate those needs into scalable solutions.
  • Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
  • Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates
  • Intermediate to advanced proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
  • Deep understanding of customer journey analytics, KPI development, and data storytelling.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Familiarity with data privacy standards and compliance best practices.

Special Requirements:

  • Candidates may be required to pass a test for this position.

Compensation Range:

$130,000.00-$170,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


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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