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Vice President Data Analyst Jobs (NOW HIRING)

BNY Mellon

Vice President, Data Analyst & BI

Berwyn, PA · On-site

Vice President, Data Analyst & BI At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

BNY

Vice President, Data Analyst & BI

Berwyn, PA · On-site

Vice President, Data Analyst & BI At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

PFSbrands

Vice President, Data

Holts Summit, MO

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

Magellan Health, Inc.

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability - from foundational data engineering and governance through advanced ...

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 ...

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All JobsVice President Data Analyst Jobs

Vice President Data Analyst information

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$34K

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$136K

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

As of Jul 5, 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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Vice President Data Analyst jobs near you
VP- Data Analytics

VP- Data Analytics

Bristol County Savings Bank

Taunton, MA • On-site

Full-time

Posted 8 days ago

Job description


VP, Data Analytics

Reports to: EVP/ Chief Information Officer (CIO)

Direct Reports: Senior Analytics Lead, Power BI Developer Location: Taunton, MA with potential for Hybrid work schedule

Role Summary


The VP / Manager of Data Analytics is a hands-on leader responsible for building, operating, and scaling BCSB’s enterprise analytics capability. This role owns analytics strategy, execution, team leadership, and value delivery — ensuring analytics directly supports deposit growth, customer intelligence, automation, and executive decision-making.

The position is deeply involved in roadmap execution, dashboard review, KPI governance, and coaching the analytics team.

Key Responsibilities

· Own the analytics roadmap aligned to bank strategy and ELT priorities

· Lead enterprise adoption of Microsoft Fabric and Power BI

· Lead transition away from legacy Business Objects / Crystal reporting in coordination with COCC

· Oversee phased migration of reporting assets to Power BI

· Oversee phased Fabric security implementation (Wave 1–3 model)

· Translate executive priorities into actionable analytics initiatives

· Establish and lead analytics intake, prioritization, and sprint planning

· Chair or co-chair the Data Governance Steering Group plus the Analytics Enablement Committee

· Review and approve all production dashboards and KPIs

· Partner with Finance, Operations, Lending, and Marketing leadership

· Ensure analytics delivery timelines, quality, and business impact

· Recruit, develop, and retain analytics talent

Hands-On Expectations

· Participate in dashboard design and KPI reviews

· Validate data logic and metric definitions

· Lead executive walkthroughs of analytics products

· Troubleshoot analytics issues with the team when needed

Qualifications

· Bachelor's degree

· 10–15 years experience in analytics, BI, or data leadership

· Strong hands-on experience with Power BI and modern data platforms

· Banking or financial services experience strongly preferred

· Proven ability to lead small, high-impact teams

· Strong communication and executive presence

Success Measures

· Executive adoption and usage of analytics

· Reduction in ad-hoc reporting requests

· On-time delivery of analytics roadmap

· Team retention and engagement

· Data trust and KPI consistency across the bank

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