The Workforce Planning team within JPMorganChase exists to help ensure success of major transformation efforts through data by identifying challenges with existing programs of work and proactively working with key partners to shape the future state of the organization. 

As a Data Analyst Vice President on the Workforce Planning team, you will leverage your extensive experience in data wrangling and creative problem-solving to collaboratively build and maintain models that accurately forecast the hiring activities necessary to meet our organization’s workforce needs. In this role, you will tackle complex business challenges and transform them into data-driven solutions. Whether you're dissecting intricate data sets, developing sophisticated dashboards, or conceptualizing solutions to underlying business issues, your expertise will be both valued and impactful.

Job Responsibilities

Develop advanced dashboards, reports, and workflows to address critical questions about technology talent and workforce strategy Demonstrate resourcefulness and creativity in sourcing and analyzing data Serve as the authority on internal people-related data, providing data-driven solutions to stakeholders' challenges Effectively communicate actionable insights and analytical methodologies to non-technical partners Automate processes and enhance efficiencies in traditional data workflows Collaborate with multiple teams, adeptly navigating unstructured and ambiguous environments Independently drive end-to-end projects while managing stakeholder expectations Mentor peers and partners in enhancing their data fluency and analytical capabilities

Required Qualifications, Capabilities, and Skills

7+ years of professional experience as an analyst in a business intelligence role Proven track record of success across the analytics project lifecycle, including solution design, data extraction and transformation, descriptive analysis, and data visualization Advanced proficiency in data analysis and visualization tools (Excel, Tableau, Alteryx, and Python) Strong, precise verbal and written communication skills with both technical and non-technical colleagues, including senior stakeholders

Preferred Qualifications, Capabilities, and Skills

Bachelor’s or Master’s degree in a quantitative field Extensive experience with people analytics projects Proficiency in statistics and data science techniques