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Vice President Data Analyst Jobs (NOW HIRING)

Updater

VP, Data

... analysis through reliable pipelines and tooling that support both real-time visibility and deep ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

Surescripts

VP Data Solutions

Charleston, WV · On-site

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 ...

OptimizeRx

Vice President, Data and Analytics Products

$200K - $220K/yr

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare technology company that's redefining how life science brands connect with patients and healthcare ...

Flexential Corp.

OR · On-site

The Vice President, Data Center Operations will play a central role in ensuring that facilities ... analytics, and process improvement to ensure clean handoffs, strong readiness, and effective ...

Centerline

Vice President Data Center

Richmond, VA · On-site +1

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 ...

LifeMD

VP, Data & Analytics

New York, NY · Remote

$196K - $253K/yr

... Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the Chief Technology Officer, this executive will build the next ...

AXS

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... analytics, fraud prevention, pricing, and reporting across the business. This includes our data ...

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How much do vice president data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for vice president data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectVice President Data AnalystData Analytics Manager
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; extensive experienceBachelor's or Master's in Data Science, Business, or related field; several years of experience
Work EnvironmentExecutive-level, strategic planning, cross-department collaborationTeam leadership, project management, operational oversight
Employer & Industry UsageLarge corporations, tech firms, finance, healthcareMid to large organizations, tech companies, consulting firms

The Vice President Data Analyst typically holds an executive role focused on strategic data initiatives and leadership, while the Data Analytics Manager oversees daily operations and team management. Both roles require strong analytical skills and industry experience, but the VP position emphasizes strategic vision and executive decision-making.

What are the key skills and qualifications needed to thrive as a vice president data analyst, and why are they important?

To thrive as a Vice President Data Analyst, you need advanced data analysis expertise, business acumen, and a relevant degree in data science, statistics, or a related field, often with years of leadership experience. Mastery of analytical tools such as SQL, Python, R, BI platforms (e.g., Tableau, Power BI), and familiarity with data governance frameworks and cloud data solutions are typical requirements. Strong leadership, strategic thinking, and communication skills set top performers apart by enabling them to guide teams and influence executive decisions. These skills are crucial for extracting actionable insights from complex data and driving organizational strategy at the executive level.

What does a vice president data analyst do?

A Vice President Data Analyst is a senior leader responsible for overseeing data analysis and interpretation within an organization. They manage teams of data analysts, develop data strategies, and use advanced analytics to drive business decisions. Their role often involves collaborating with executives to align data initiatives with company goals, ensuring data quality and security, and staying current with industry trends. The VP Data Analyst also plays a key role in translating complex data findings into actionable insights for stakeholders.

How does a vice president data analyst typically collaborate with executive leadership and cross-functional teams?

As a Vice President Data Analyst, you will regularly interact with executive leadership to present insights and guide data-driven decision-making. The role often requires collaborating with cross-functional teams such as IT, marketing, finance, and operations to align analytics initiatives with business objectives. You’ll likely lead a team of analysts, ensuring projects are delivered on time while also mentoring staff and setting data strategy. Effective communication and the ability to translate complex analysis into actionable recommendations are essential for success in this role.

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Cities with the most Vice President Data Analyst job openings:

What are the most commonly searched types of Data Analyst jobs?

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Vice President Data Analyst jobs near you
Infographic showing various Vice President Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

VP, Data

Updater

Remote

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Updater is a leading technology platform focused on enhancing customer acquisition and retention through intelligent systems. They are seeking a VP of Data to elevate data-driven decision-making across the company, architecting systems that transform fragmented signals into reliable intelligence while managing a high-performing data engineering team.
Responsibilities:
• Own the long-term data strategy in partnership with Engineering, Finance, Product, and Executive Leadership.
• Define and evolve the end-to-end data architecture across acquisition, transactions, fulfillment, revenue recognition, and lifecycle events.
• Design scalable, auditable systems that accurately model complex, multi-role KPIs while balancing speed, accuracy, and cost.
• Build data systems that accurately models affiliate revenue-share agreements, confirmations, cancellations, and adjustments.
• Enable early detection of fraud and performance anomalies before they materially impact margin.
• Partner with Finance and cross-functional leaders to establish canonical revenue metrics and shared KPI definitions.
• Reduce the latency between business events and actionable insight.
• Enable faster experimentation, channel optimization, and partner performance analysis through reliable pipelines and tooling that support both real-time visibility and deep historical analysis.
• Build and scale a high-performing data engineering organization grounded in technical excellence, data quality, and operational rigor.
• Foster a collaborative, high-ownership culture that empowers teams to do their best work, operate effectively in ambiguity, and deliver durable systems that accelerate business impact.
• Translate business ambiguity into technical clarity — and technical complexity into business understanding.
• Clearly articulate data definitions, tradeoffs, and system constraints.
• Serve as a trusted partner to Product, Engineering, Finance, and Executive Leadership in driving high-impact decisions.
Qualifications:
Required:
• 10+ years of experience in data engineering or data platform leadership, including prior VP / Head of Data Engineering scope (or equivalent)
• Proven ownership of data systems directly tied to revenue, billing, or financial outcomes
• Deep expertise in modern data architectures (batch + streaming, warehouses, orchestration, modeling)
• Comfortable doing vendor evaluations, build vs buy decisions, and success implementing infrastructure projects.
• Strong command of data quality, lineage, observability, and governance — with pragmatic execution
• Experience stewarding data lifecycle with ML models, both traditional supervised learning as well as LLM-based models
• Experience designing systems that accommodate ambiguity, delayed signals, and evolving business rules
• Ability to drive clarity and alignment where metrics are contested and incentives may compete
• Strong understanding of attribution, leading vs. lagging indicators, and decision-enabling data principles
• Clear judgment that timely, decision-enabling truth is more valuable than theoretical perfection
Preferred:
• Experience in affiliate marketing, marketplaces, fintech, adtech, or other revenue-complex environments strongly preferred
Company:
Embedded commerce for essential home services. Founded in 2011, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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