HR Data and Analytics - Insights and Product Delivery - Senior Associate

at  JPMorgan Chase Co

JOB DESCRIPTION

We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML) based solutions. 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 Senior Data Analytics and Insights associate, you will analyze our large-scale global human capital and workforce data to create insights, analytical solutions, and customized models that answer critical business questions. You will translate business questions into analyses tasks, collaborate with internal subject matter experts (SMEs), build customized analytics solutions, and communicate customized results with relevant parties. You will participate in the design and delivery solutions (e.g., analytics dashboards, proprietary models, visualization schemes, etc.) to meet customers’ needs.
You are strong in quantitative skills and reporting tools, but also possess curiosity to learn many nuances of rich workforce data, especially focused on employee relations, conduct, security, compliance, legal, etc. You will be a valuable contributor and collaborator to our intellectual capital – accumulate institutional knowledge about our diverse workforce data across multiple lines of businesses, explore and develop suite of advanced intelligent decisioning tools, and create relevant templates or automation processes.

REQUIRED QUALIFICATIONS CAPABILITIES AND SKILLS

• Bachelors with professional experience in a related data discipline (e.g., Computer Science, Engineering, Economics, Business, IO Psychology, Statistics, Business Analytics, or relevant fields)
• Hands-on experience in at least two of the following:
• Statistical software or coding languages (e.g., Python, R, SAS)
• Data analytics and visualization tools (e.g., Tableau, PowerBI, Qlik)
• Statistical or quantitative analysis (e.g., multiple regression, multivariate analysis, network analysis, AI-ML concepts and techniques)
• Advanced excel skills (e.g., pivot tables, VLOOKUP, Analysis ToolPak, macros/VBA)
• Data wrangling, workflows, and automation (e.g., SQL, Alteryx, Business Objects, etc.)
• Versatile in learning and picking up different software, tools, methodologies, or coding languages
• Demonstrated ability to create custom solutions that solve business problem
• Demonstrated experience in presenting reports, insights, and data analytics findings
• Relevant experience in data & analytics topics in consulting, client engagement, or project execution

PREFERRED QUALIFICATIONS, CAPABILITIES AND SKILLS

• Domain knowledge in Human Resources analytics or in the financial services, especially in employee relations, recruitment, workforce planning, talent & career development, and HR service
• Experience with Natural Language Processing (NLP) algorithms, tools, customer/employee survey analyses, segment analysis and pattern detection, etc.
• Willingness to learn new areas of focus - especially support functions, compliance, global security, etc., as relates to HR matters
• Comfortable with ambiguity and stakeholder management across multiple business functions
• Familiarity with project managements concept, such as agile practices
• Familiarity with cloud computing approaches, such as AWS, Azure, etc
• Familiarity or hands-on experience with data science, machine learning, and AI

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

• Conduct analyses on workforce data to answer business questions from multiple stakeholders and support HR in making evidence-based decisions
• Understand data life cycle across technology ecosystem, collaborate with cross-functional teams in business & technology, and leverage a suite of tools to build analytical solutions
• Capture and understand end-user requirements, translate into customized analytical solutions, communicate insights via reports, dashboards, visualization etc.
• Create and deploy workflows for repeatable, scalable, and automated solutions
• Build data analytics pipelines, including quality checks, exploratory analysis, and collaborate with technology teams in production deployment.
• Develop, use, and implement innovative analytical workflow and modeling approaches that capitalize on data assets, identify best fit data insight tools possibly including advanced analytics and data science models, such as LLMs, etc.
• Project manage the design, build, and delivery of new analytical solutions with a pragmatic approach in evaluating multiple solutions
• Attention to detail, rigor, and robustness in data analytics and results. Ability to articulate complex issues in easy to understand ways
• Adherence to various control functions and regulatory requirements while handling workforce data