Nielsen - Senior Analyst - People Analytics

Job Profile

Job Title: Senior Analyst, People Analytics

Reports to: VP, People Analytics & Hiring

Business unit: HR

Location: India

Description

The People Analytics team at Nielsen has a clear mission - enable better talent-related decisions using data. As part of this effort, we tackle a variety of fascinating questions: with the onset of machine learning and robotics, what skills will we need to best serve our clients in 5 years time- What changes to our staffing pyramids do we need to make to maintain profitability- What career paths are required to fulfill the leadership pool we need tomorrow-

To help us answer these questions, Nielsen is seeking a People Analytics Senior Analyst with a specific focus on partnering with business leaders and our Human Resources Leadership Team to deliver and enhance Nielsen's capability and approach to People Analytics.

Job Responsibilities

- Develop and analyze large data sets

- Developing strong partnerships across the business to deliver workforce plans

- Build reports & dashboards

- Be an internal consultant to varying business groups on people related matters

- Be an ambassador of change: whether to improve the health of our data; to enable the organization to make more data-driven people decisions

- Develop online resources (tools, templates, and training materials) to support People Analytics training at Nielsen

- Provide consultative and analytic support in the strategic and operational implementation of People Analytics and Workforce

Role Requirements (E=essential, P=preferred.)

E - 3 (3) or more years of experience in People Analytics or HR Analytics

E - 5+ years of relevant professional work experience, a majority of which in an HR or a strategy role

E - Three (3) years of experience in a reporting role; preferably to senior executves

E - Excellent communication skills, both written and oral.

E - Experienced wit data manipulation and data analysis, including Tableau

E - Consistently demonstrates values of humble/hungry/smart

E - Bachelor's degree in Business, Economics, or any STEM field (quanitiatively oriented)

P - Ability to manage uncertainty, complexity and competing priorities

P - Practical experience with predictive modeling and knowledge of statistics using R or Python