Xerox HR Data Analytics - Professional in India

  • The HR Insights Team’s mission is to solve business problems with analytics that combine both HR and business data. The team works seamlessly across the organization with a results driven, reform-minded, highly supportive mindset. The team places high standards on data privacy Role Purpose:The HR Data Analytics professional’s primary role will be to offer actionable analysis and consultative support to senior leadership and HRPBs. They will interface with HR and other business functions to serve their data needs and effectively “tell the story”. This role supports evidenced-based business-centric decision making on Human Capital. Together with your colleagues you’ll provide strategic and analytical input and modeling support to senior management and HR. You’ll add quantitative perspective to discussions on new and existing HR processes and procedures. The successful candidate will be highly analytical, have a high level of customer focus and a passion for process improvement. The scope of this role is across the entirety of Xerox’s business around the world and cross-functional with sales and finance

  • Apply expertise in people research, quantitative and qualitative analysis, data science, and data visualization to help us optimize the complete cycle of talent from workforce planning through retention

  • Build dashboards and tools to support talent analytics, from sourcing and interviewing candidates to managing attrition

  • Support evidenced-based decision making on Human Capital.

  • Together with team colleagues provide strategic and analytical scenario modeling senior management and HR.

  • Add quantitative perspective to discussions on new and existing HR processes and procedures.

  • Partner closely with HRIS to build out new analytics tools

  • Collaborates with all areas of the HR Function to investigate issues, makes recommendations and develop action plans to contribute to financial objectives, principles and to achieve goals.

  • Supports other areas within the Human Resources function with Data Analytics projects as required, such as:Sales Compensation, Learning & Development, and Talent Planning Sales Compensation, Learning & Development, and Talent Planning


Bachelor's Degree or Master's Degree in Science, Technology, Engineering, or Math with an emphasis on applied mathematics and statistics

Skills, Knowledge and Abilities:

  • Advanced research, analytical, data processing and mathematical skills

  • Demonstrated ability to structure and conduct data analyses relevant to complex business issues

  • Strong oral and written communication skills: “Telling the story”

  • Ability to work and communicate with all levels of management and concisely present findings

  • Ability to distill and present actionable information and recommendations from complex research

  • Strong organizational, problem-solving, and analytical skills; able to manage priorities and workflow

  • Versatility, flexibility, enthusiasm, and a willingness to work within constantly-changing priorities

  • Advanced Microsoft Excel skills, including charts/graphs, pivot tables, lookups, and complex nested formulas

  • Proficiency in MS-PowerPoint

  • Ability to troubleshoot and resolve data issues

  • Experience with data science and analytical techniques tied into HR data

  • Experience with formulating hypotheses, models, interpreting and communicating results

  • Experience with executing advanced and predictive analytics

  • 5 years of HR analytics experience

Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to Be sure to include your name, the job you are interested in, and the accommodation you are seeking.

Title: HR Data Analytics - Professional

Location: India

Requisition ID: 18004898