Job Abstract

The People Analytics team at Mars aims to provide a team of technical experts for the delivery of advanced analytics products and solutions within the P&O function. Working in an Agile manner, we provide expertise on building analytics solutions in an efficient, cost-effective, and durable manner. Solutions are focused on the recent launch of the People Analytics Data Lake Ecosystem (PADLE) solution. Hosted in the Azure cloud, this analytics platform supports the secure transformation and processing of Mars People Analytics data. 

• Demonstrated analytical, problem solving, critical and lateral thinking skills

• Demonstrated previous experience with advanced Analytical techniques 

• Knowledge and experience of machine learning modeling techniques and packages

• Strong analytical skills with interest in business dynamics.

• The position requires good interpersonal and communication skills along with an ability to translate advanced analytical findings to business actions. 

• The individual should be a team player and have a strong ability to influence peers and business partners to take actions necessary to achieve goals.

• Independent and innovative thinking is desired.

• Good working knowledge of statistical software is a must.

• Ability to represent the company at various levels with the client

• Ability and willingness to work at different client locations

• Ability to work in a multi-cultural environment with a tolerant attitude

• Leading Analytics and Data Science in the P&O (HR function) space for Mars in alignment and connection with global leadership for the Snacking Segment

• Bring thought leadership in the area of HR and the problems of the future and build analytical solutions aimed at solving those

• Deliver potent insights and data science that deliver our purpose and unlock new value and benefits across our business.   

• Create a strategy, roadmap for analytics and data science that you manage and deliver with the team    

• Connect with Data teams to drive data priorities, and solution performance.  

• Connect with Translator teams to drive adoption priorities, and solution performance. 

• Connect with broader analytics communities to drive best practices and community cohesion

• Work with a team of Data Engineers and Data Scientists and be responsible for the overall solution design, development, and deployment.

• The job requires bringing technical expertise and understanding in analytics, data science and insight to bear in the market. This will demand rapid learning about the data we have, the business needs/challenges and applying expertise in analytics, data science, leadership, and delivery to turn this into an output that has actionable and valuable outcomes for the business. 

• The role will partner with other senior leaders in the P&O teams to co-create the strategy and priorities and deliver them   

• The role will be hands-on to help deliver work directly and to lead projects working across markets

• The team is very new, small, and nimble.  Being self-starting and self-sufficient while also communicating and collaborating effectively within the team and beyond is key

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#LI-Hybrid

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.