Human resources ( HR )

HR Data & Analytics – Insights & Product Delivery – Sr. Associate

Urgently needed for
HR Data & Analytics – Insights & Product Delivery – Sr. Associate


Company: JPMorgan Chase

Job description: 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. Our mission is to create workforce insights that allow leaders to make evidence-based people decisions that help drive measurable business outcomes. 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.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 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 decision tools, and create relevant templates or automation processes.Job responsibilities

  • 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

Required qualifications capabilities and skills

  • Bachelors with 3+ years’ experience in a related data discipline (e.g., Computer Science, Engineering, Economics, Business, IO Psychology, Statistics, Business Analytics, or relevant fields), and/or 2+ years at a top management consulting firm with a Master’s degree (or equivalent in industry)
  • 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, machinAbout Us:JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.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 for more information about requesting an accommodation.JPMorgan Chase is an Equal Opportunity Employer, including Disability/VeteransAbout the Team:Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.Human Resources plays a critical role in driving the employee experience, shaping the firm’s culture and building a diverse and inclusive workforce. We are a strategic partner to the business – working with leaders across the firm to hire, develop and retain the best people and help meet business goals. Together, we foster a work environment in which our people are supported, feel like they belong and are able to make an impact through their work. We develop and deliver a suite of products and services that help make JPMorgan Chase an employer of choice and drive our business forward.

Expected salary:

Location: Jersey City, NJ

Job date: Sun, 04 Aug 2024 04:49:32 GMT

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