What are the responsibilities and job description for the HR Data & Analytics - Data Insights - Vice President position at JPMorgan Chase?
We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and data governance. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive in the world. Our mission is to create workforce insights that allow leaders to make evidence-based people decisions that help drive measurable business outcomes.
As a Data Insights Vice President in our HR Data & Analytics team, you are not only strong in both quantitative skills and business acumen, but also a great collaborator with your team members and internal clients. You translate abstract business asks to analysis tasks or agenda, conduct analysis, and communicate results with relevant parties. You are a valuable contributor to our intellectual capital – Accumulate institutional knowledge about our workforce, explore and develop different tools and analysis methods in the context of HR, and create relevant templates to drive synergy across HR analytics work. Last but not least, you embrace a mentoring mentality in developing junior team members through collaboration in analysis work.
Job Responsibilities:
- Conduct analysis based on past and current HR or business data, with the primary goal of generating insights, answering the question of “so-what”, and supporting leadership in making evidence-based decisions
- Collaborate with team members to deliver analysis results
- Communicate analysis results with relevant team members and internal clients
- Create and document institutional knowledge about our workforce, and share such knowledge with relevant team members and stakeholders
- Tool-agnostic: Explore new tools, technology, and analysis methods for projects, analysis, or products
- Develop new analysis ideas based on observations in existing book of work and data asset
Required qualifications, capabilities and skills:
- Bachelors with 7 years’ experience in a related social science, business, or quantitative analysis discipline (e.g., Engineering, Economics, Business, IO Psychology, Statistics, Business Analytics, or relevant fields), with a Master’s degree (or equivalent in industry)
- Experience with Python
- Domain knowledge in Human Resources analytics, recruitment, compensation, labor market research, finance, or in the financial services industry
- Hands-on experience in at least two of the following:
- Advanced excel skills (e.g., VLOOKUP, INDEX MATCH, advanced conditional formatting, Analysis ToolPak, macros/VBA)Statistical software.
- Statistical or quantitative analysis (e.g., hypothesis testing, multiple regression, multivariate analysis)
- Use data visualization tools (e.g., Tableau, PowerBI, Qlik) as a means for data exploration and analysis
- Use data wrangling tools (e.g., SQL, Alteryx) to prepare data for exploration and analysis
- Experience in working with large dataset (millions of records) for data exploration and analysis (e.g., AWS, Starburst, Databricks)
- Versatile in learning and picking up different software, tools, methodology, or coding languages
- Relevant experience in consulting, client engagement, or project execution with demonstrated experience in data & analytics topics
Preferred qualifications, capabilities and skills:
- Investigative in nature and interested in asking and answering the question of “why” and “so what”
- Experience in strategy consulting, specifically in data- and analytics-related fields
- Ability to articulate complex issues in easy to understand ways
- Pragmatic problem solving across multiple types of issues in project work
- Willingness to learn new areas of focus - especially support functions
- Comfortable with ambiguity
- Project management experience
