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Vp Data & Analytics Jobs in Virginia (NOW HIRING)

The VP Data Solutions drives cross-functional alignment and ensures the portfolio delivers ... Own the full lifecycle of data and analytics products - including ideation and market validation ...

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data center ...

Works closely with clinical data analytics and actuarial teams to develop, refine, and deploy ... The VP, Clinical Performance will be a key member of the corporate clinical leadership team. In ...

The VP of Capture leverages data, analytics, and emerging technologies, including AI-enabled tools, to enhance capture effectiveness, decision-making, and win probability. This is a hands-on ...

The VP of Capture leverages data, analytics, and emerging technologies, including AI-enabled tools, to enhance capture effectiveness, decision-making, and win probability. This is a hands-on ...

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Vp Data Analytics information

See Virginia salary details

$32.7K

$80.8K

$138.8K

How much do vp data & analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for vp data & analytics in Virginia is $80,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the main challenges faced by a VP Data & Analytics, and how are they addressed?

A VP Data & Analytics often faces challenges such as aligning data initiatives with overall business strategy, ensuring data quality and governance across diverse sources, and bridging the gap between technical teams and executive leadership. Addressing these challenges typically involves establishing robust data governance frameworks, promoting a data-driven culture, and continuously updating analytics strategies to reflect changing business needs. Collaboration with stakeholders from IT, operations, finance, and marketing is essential to gather requirements and ensure analytics efforts are driving measurable outcomes. By proactively managing these obstacles, a VP Data & Analytics helps unlock the full value of organizational data and supports sustainable business growth.

How much does a vice president of data analytics make?

A vice president of data analytics typically earns between $130,000 and $250,000 annually, depending on the industry, company size, and location. Compensation often includes bonuses and stock options, and strong skills in data management, analytics tools, and leadership are highly valued for this role.

What does a VP of data analytics do?

A VP of data analytics oversees an organization’s data strategy, leading teams to analyze data for insights that support business decisions. They manage data infrastructure, develop analytics frameworks, and collaborate with other executives to drive data-driven growth, often requiring strong leadership, technical skills, and knowledge of analytics tools like SQL and Tableau.

What are the key skills and qualifications needed to thrive in the Vp Data & Analytics position, and why are they important?

To thrive as a VP Data & Analytics, you need deep expertise in data strategy, analytics methodologies, data management, and a relevant advanced degree, often combined with significant leadership experience. Familiarity with data warehousing, visualization tools (such as Tableau or Power BI), programming languages (like Python, R, or SQL), and certifications in data management or analytics (e.g., Certified Analytics Professional, CDMP) are highly valued. Exceptional communication, business acumen, and the ability to lead cross-functional teams are crucial soft skills for this position. These competencies are vital to drive data-driven decision-making, shape business strategy, and foster a culture of analytics maturity within the organization.

What is a VP of Data & Analytics job?

A VP of Data & Analytics is a senior executive responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making. They lead data teams, implement data governance, and ensure the organization leverages data effectively to drive business growth. Their role typically involves collaborating with other executives, managing data infrastructure, and identifying opportunities for innovation through analytics.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer (CDO) or Vice President of Data & Analytics, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in data strategy, and leadership capabilities, often complemented by certifications like Certified Analytics Professional (CAP) or advanced degrees.

What is the highest paid VP position?

The highest paid VP position is typically the Vice President of Sales or Vice President of Corporate Development, with total compensation often exceeding $300,000 annually, including base salary, bonuses, and stock options. Compensation varies by industry, company size, and location, with executive-level VPs in technology and finance sectors earning the highest salaries.
What are the most commonly searched types of Data & Analytics jobs in Virginia? The most popular types of Data & Analytics jobs in Virginia are:
Infographic showing various Vp Data & Analytics 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 $80,819 per year, or $38.9 per hour.
VP, Data Analytics and Insights

VP, Data Analytics and Insights

Five Guys

Alexandria, VA

Full-time

Posted 10 days ago


Five Guys rating

6.4

Company rating: 6.4 out of 10

Based on 383 frontline employees who took The Breakroom Quiz

13th of 104 rated fast food restaurants


Job description

Based at our office in Alexandria, VA, the Vice President – Data Analytics and Insights is a senior executive responsible for building and leading Five Guys’ enterprise analytics capability. This new role owns the strategy, team, and delivery of Business Intelligence and Reporting, Pricing and Revenue Management, Advanced Analytics and Data Science, Business Analytics, and Consumer Insights across all channels for both Company and Franchise restaurants. The VP serves as the organization’s central authority on data-driven decision-making. The role partners with Marketing, Operations, Digital, Finance, IT, Supply Chain, and Franchisees to deliver actionable insights that drive profitable growth, optimize pricing, deepen guest understanding, and improve operational performance system-wide. The VP will build a high-performing, analytically rigorous team and foster a culture where data underpins every major commercial and operational decision.

Essential Duties and Responsibilities:

Provide analytical support to Marketing, Operations, Digital, and Finance teams for key questions regarding overall business performance 

Lead the development of test-and-learn frameworks, including experiment design, control group methodology, and statistical significance standards, to enable disciplined innovation across the business.

Conduct ad-hoc deep-dive analyses to answer critical business questions and support strategic planning, annual budgeting, and new-initiative business cases.

Define, govern, and evolve Five Guys’ enterprise BI and reporting strategy, including platforms, dashboards, and self-service tools, ensuring accurate, timely insights for executives, functional leaders, and field operations.

Partner with IT to ensure data infrastructure, warehousing, and pipelines are scalable, reliable, and aligned with current and future analytics needs.

Own Five Guys’ enterprise pricing strategy, developing pricing models and elasticity analyses to guide menu, promotional, delivery, and marketspecific pricing decisions.

Collaborate with Finance, Supply Chain, and Operations to assess margin impacts, vendor cost changes, and new menu initiatives, supported by a clear pricing governance framework.

Own the consumer insights function, leading qualitative and quantitative research programs (brand tracking, guest satisfaction surveys, concept testing, segmentation studies, and ethnographic/in restaurant research) to build a deep, actionable understanding of Five Guys guests and prospects.

Serve as the “voice of the guest” across the organization, synthesizing research findings into clear
narratives that inform brand strategy, menu innovation, marketing campaigns, and guest experience
improvements.

Manage relationships with external research vendors and syndicated data providers (e.g.,
Technomic, NPD / CREST, Placer.ai, or similar) and ensure the organization has access to the
competitive and industry intelligence it needs.


Build and lead the data science function, developing predictive and prescriptive models that drive
measurable business outcomes in areas such as demand forecasting, labor optimization, menu mix
optimization, guest lifetime value, churn prediction, and site selection.


Identify and prioritize high-impact analytics use cases across the business; develop a roadmap for
model development, testing, deployment, and ongoing refinement.


Build, lead, and develop a high-performing analytics organization spanning multiple disciplines (BI,
pricing, data science, business analytics, and consumer insights), attracting and retaining top talent
in a competitive market.


Establish clear team goals and performance metrics tied to business outcomes, and manage
departmental budgets including headcount, technology, vendor, and research spend.

Qualifications Guidelines:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential
functions.


Education/Experience:
Bachelor’s degree in a quantitative or business-related field required; advanced degree (MBA, M.S.,
or Ph.D.) strongly preferred.
10+ years of progressive experience in analytics, data science, pricing, consumer insights, or
business intelligence, including senior leadership of multidisciplinary teams.
Experience in multiunit, franchise, or consumerdriven industries strongly preferred.

Language Ability:
Exceptional verbal and written communication skills, with the ability to translate complex analytical findings
into clear, actionable insights for executive leadership, franchise partners, and cross-functional
stakeholders.


Math Ability:
This position requires advanced business math skills.


Reasoning Ability:
The position requires exceptional analytical reasoning, intellectual curiosity, and strategic judgment. The
successful candidate will navigate ambiguity across a wide range of business problems, synthesize data
from disparate sources (POS, digital platforms, third-party marketplace data, survey research, syndicated
industry data, and financial systems), and make sound recommendations that balance short-term
performance with long-term brand and business health. Must be comfortable challenging conventional
thinking with evidence-based perspectives and managing the inherent tension between analytical precision
and the speed required in a fast-paced restaurant environment.


Computer Skills:
Excellent personal computer literacy is required, with proficiency in Word, Excel, PowerPoint, Internet, and
other appropriate software. Strong familiarity with BI, data visualization, data warehousing, and analytics
platforms, (e.g., Tableau, Power BI, Looker, or similar) with experience overseeing enterprise analytics
tools, data pipelines, and model development. (e.g., Snowflake, Databricks, BigQuery, or similar).


Supervisory Responsibilities:
This position has supervisory responsibilities.


Physical Demands:
This position may require extended periods of sitting and the use of office equipment and computers.
Occasional travel to restaurant locations, franchise partner meetings, vendor offices, research facilities,
and industry conferences will be required; travel is estimated at 15–25% annually, with peak periods
around strategic planning cycles, franchise conventions, and major research initiatives.
The above job description is not intended to be an all-inclusive list of duties and standards of the position.
Incumbents will follow any other instructions, and perform any other related duties, as assigned by their
supervisor, policy and company management.


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