*** This is a hybrid role that can be based out of the USA or UK in our Newark, NJ Chicago, London, and Slough offices
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.
People Analytics was formed just over three years ago as part of an ambitious journey to transform our P&O analytics capabilities. This involves building foundational services to provide our associates with helpful insights through fast results and resolving complex problems. Building on the momentum gained in the past year, we are creating new and exciting roles to involve the talent and experience that we require.
What will be your key responsibilities?
Individual will work & collaborate with the People Data Office, Data Scientists, Data Engineers & AI teams to solve problems related to the analytical needs of the future and ensure the right analytical solutions are being delivered to the business
Solution Development: to work with the existing team around building solution capability and expertise around different areas of analytics
Delivery: use analytics expertise to understand client needs and work hands-on the development of scorecards/ models, analysis etc.
Implementation: manage the process of implementation/ deployment of score/model/analysis built. Monitor performance of scorecards as needed
What are we looking for?
Bachelor’s degree in Human Resources, Mathematics, Data Science, or related field
8-11 years of experience, nice to have: post-graduate qualifications in statistics, computer science, data analytics
Good analytical, problem solving, critical and lateral thinking skills with advanced analytical techniques
Knowledge and experience of machine learning modeling techniques and packages
Strong analytical skills with interest in business dynamics
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 and platforms
Ability to work in a multi-cultural environment with a tolerant attitude
What can you expect from Mars?
Work with over 130,000 like-minded 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
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.
The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility
First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.
We ask the hard questions so you don’t have to.
Working at Mars UK
4,000 In the UK
Gender diversity (male:female)
London, Slough, Waltham, Castle Cary, Birstall, Plymouth