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Mars UK • United States of America

Senior Data Lead, People & Operations Analytics

Employment type:  Full time

Job Description

Job Description:

*** 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

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#LI-AS3

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.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Sabbaticals
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave
Bank holiday swaps
Shared parental leave
Adoption leave
Family health insurance
Pregnancy support
Neo-natal leave
Faith rooms
Meditation space
Dog friendly office
Dog friendly co-working space
Annual bonus
Employee discounts
Cinema discounts
Referral bonus
Joining bonus
Cycle to work scheme
Electric Car Salary Sacrifice
Enhanced pension match/contribution
Theme park discounts
Lunch and learns
In house training
LinkedIn learning license
Studying sabbaticals
Open to part time work for some roles

Working at Mars UK

Company employees:

4,000 In the UK

Gender diversity (m:f):

57:43

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