Jobs

Analytics & Insights Manager – Data Analyst


Job details
  • Procter & Gamble
  • London
  • 3 months ago
Applications closed

Description

Ready to fuel the success of globally renowned brands like Gillette, Pampers, Head & Shoulders and Oral-B that millions of consumers can’t live without? 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 Analytics Managers 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 opportunities. 

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

Key responsibilities include:

Identify and activate customer & 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, and you will be given specific projects and responsibilities.

Continuous coaching– You will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager.

Dynamic and respectful work environment– Employees are at the core, we value every individual and promote flexible working arrangements and work/life balance

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. To find more information about our benefits package take a look here:

Job Qualifications

What We Look For:

Graduates who have completed a degree, or those who will complete their degree by summer 2024. 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 insights.

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.

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 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

R000112401

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)

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