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Vice President Biotech 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 ...

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Legend Biotech US

VP, Medical Affairs

Bridgewater, NJ · On-site +1

Legend Biotech is seeking a VP of Medical Affairs as part of the Medical Affairs team based in ... Lead company sponsored non-registration trials, lead secondary analyses of primary data (in ...

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

As of Jul 1, 2026, the average yearly pay for vice president biotech 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.

How does a Vice President Biotech Data Analyst typically collaborate with cross-functional teams in a biotech organization?

A Vice President Biotech Data Analyst frequently works alongside scientists, regulatory affairs, clinical operations, and IT professionals to translate complex biological data into actionable business insights. This role often leads data strategy discussions, ensuring that data-driven decisions align with organizational goals and compliance requirements. Regular meetings and project reviews are common, as are collaborative efforts to design and implement data infrastructure that supports both research and commercial objectives. Effective communication and leadership are essential, as the VP acts as a bridge between technical data teams and executive leadership.

What are the key skills and qualifications needed to thrive as a Vice President Biotech Data Analyst, and why are they important?

To thrive as a Vice President Biotech Data Analyst, you need advanced analytical skills, deep knowledge of biotechnology, and a strong background in data science, often supported by an advanced degree in life sciences, statistics, or a related field. Expertise with statistical analysis software (such as R, Python, or SAS), data visualization tools, and familiarity with industry regulations like FDA or GxP is essential. Exceptional leadership, strategic thinking, and communication skills set top performers apart by enabling them to guide teams and translate complex data into actionable insights for stakeholders. These capabilities are crucial for driving data-driven decisions, ensuring regulatory compliance, and maintaining a competitive edge in the biotech industry.

What does a Vice President Biotech Data Analyst do?

A Vice President Biotech Data Analyst leads data strategy and analysis within a biotechnology organization. They oversee teams that gather, process, and interpret complex biological data to support research and business decisions. This role combines deep expertise in data analytics with an understanding of biotech operations, ensuring that data-driven insights advance scientific goals and organizational growth. Responsibilities may also include collaborating with cross-functional teams, setting data governance policies, and presenting findings to executive leadership.
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Vice President Biotech Data Analyst jobs near you
VP- Data Analytics

VP- Data Analytics

Bristol County Savings Bank

Taunton, MA • On-site

Full-time

Posted 4 days ago

Be an early applicant

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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