VP, Data Analytics & BI: Strategy, Governance & Insights

BNY Mellon

Berwyn (PA)

On-site

USD 150,000 - 230,000

Full time

8 days ago

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Job summary

BNY Mellon is seeking a Vice President, Data Analyst & BI to drive data analytics and governance across our enterprise. The role is based in Berwyn, PA or New York, NY, and entails partnering with cross-functional teams to transform data into actionable business insights.

The ideal candidate has 5–8 years in financial services, strong BI tool expertise, and proficiency in Oracle SQL, Python, and Perl, with Bert a plus.

Qualifications

  • Bachelor’s degree in Data Science, Information Systems, or related field; advanced degree preferred.
  • Typically 5–8 years of experience with financial services experience essential.
  • Strong analytical and problem-solving skills with expertise in data visualization and BI.
  • Proficiency in Oracle SQL, Python, and Perl; Bert is a plus.

Responsibilities

  • Develop and implement data analytics strategies to enhance business intelligence capabilities.
  • Strengthen data governance with data quality controls and data contracts for key datasets.
  • Collaborate with cross-functional teams to provide data-driven insights for strategic decisions.
  • Establish data governance frameworks and conduct regular data integrity audits.
  • Lead initiatives to improve data management and accessibility for stakeholders.
  • Mentor junior data analysts and foster continuous learning.
  • Drive adoption of innovative data solutions by staying current with trends.

Skills

Data governance
Data quality
BI tools
Analytical thinking

Education

Bachelor's degree in data science or related field
Advanced degree preferred

Tools

Oracle SQL
Python
Perl
Bert

Job description

BNY Mellon is seeking a Vice President, Data Analyst & BI to drive data analytics and governance across our enterprise. The role is based in Berwyn, PA or New York, NY, and entails partnering with cross-functional teams to transform data into actionable business insights.

The ideal candidate has 5–8 years in financial services, strong BI tool expertise, and proficiency in Oracle SQL, Python, and Perl, with Bert a plus.

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