Analytics and Insights Manager (Graduate)

Job Location

Harrogate

Job Description

Are you a recent graduate, wanting to be a part of fuelling the success of globally renowned brands like Gillette, Pampers, Head & Shoulders and Oral-B? Ever dreamt of a career where you are fully supported by world-class training and development to progress to leadership?

Then this is the opportunity for you!

We are looking for passionate graduates who are eager to make an impact on their career and take on the challenge of growing some of the world’s most loved brands. You will work in a vibrant analytics team in a dynamic business environment to uncover pockets of growth through mining multiples sources of data, turning it into actionable insights, and translating complex analytics into business growth opportunities. 

The role is based in our P&G’s Northern Retailer Hub in Harrogate, co-located with the sales teams that work with the UK’s largest Northern-based retailers. Your role will be the Analytics Manager of a commercial team, advising a Senior Director who manages a multimillion-dollar business. By partnering with them you’ll have the opportunity to learn the very best commercial strategies and how to active advanced analytics in a business context.

You will join the wider P&G Analytics & Insights community for trainings, best practices, and a lot of fun! We will empower you with the very best algorithms and data technologies; you’ll have the opportunity to step-change how we use analytics to drive our business.

Key responsibilities include:

• Identify and activate customer and category growth opportunities using assortment, pricing, geo-location, shelf and promotion analytics.

• Develop insights to “C Suite” level (Category Director and above) - integrating deep understanding of customer data with their goals and strategies.

• Leverage big data, cloud technologies, advanced analytics and machine learning.

What we offer you:

• Responsibilities as of Day 1 – Working on multi-million-dollar brands such as Fairy, Gillette, Ariel or Pampers, you will feel the ownership of your work from the beginning.

• Build from Within Career - You'll collaborate with passionate individuals and receive both formal training and day-to-day mentoring from your manager. As a 'build from within' company, our people start at entry level and progress through the organization. When we make a job offer, it’s with the expectation that you will grow into one of our future leaders, and to help you get there, you will work closely with skilled P&G veterans for mentoring and coaching at every step.

• Flexibility: We operate a flex at work approach, with flexibility built into the role. Our teams spend 3 days of their week collaborating together in our offices or at our external partners or customers. This is balanced with 2 of their days spent on focused work which most tend to do from home. Of course, we do a bit of both every day, but we encourage our teams to choose where they work based on the jobs to be done. 

• Benefits – On top of your competitive salary, you can enjoy lots of benefits including a double-matched pension scheme, private health insurance, business results-based bonus programme, participation in a share ownership scheme and discounted products and perks. We also offer hybrid/flexible work arrangements to accommodate your needs.

• Enrolment into Vision - in your first two years with us will be enrolled into our Vision group. The purpose of this group is to connect new hires across our commercial UK sites, by building their capability and organising fun events throughout the year!

• Competitive Compensation - The annual salary for this role is £40,000. In addition to this you’ll receive an annual bonus based on business results. We consistently benchmark our salaries against top competitors and every P&G employee’s salary is reviewed at least annually so there is ample room for growth. 

Job Qualifications

What We Look For:

• Graduates who have completed their degree in Computer Science, Business, Economics, Statistics, Data Analytics students or any other related field who are interested in a Business Analytics career.

• We are also interested in those with relevant analytical work experience who perhaps want to explore a different field to the one they’re currently in.

• Strong analytical capability and the curiosity to blend various data sets to develop valuable business insights and sales growth opportunities.

• Strong interest in extracting business value from statistics, data & algorithms.

• Data visualization experience: PowerBI or similar.

• Machine learning and/or experience in Python.

• Experience in data ETL – extract, transform and load.

Right to Work

For our entry level technical roles such as this one, you will need a continuous, or temporary right to work in the UK. If your current right to work is temporary, or linked to another sponsor, P&G are willing to provide sponsorship from the end of your current permission, subject to meeting all the necessary Home Office requirements. Full details on visa restrictions can be found on the Home Office website and immigration rules are subject to change.

P&G is legally required to ensure all candidates have the right to work in the UK from Day 1 of their employment. All applicants will therefore be asked to provide evidence of their right to work at the conclusion of the recruitment process as a condition of employment.

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. 

Job Schedule

Full time

Job Number

R000121906

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)