This role can be based from either our London Victoria office or our Bracknell office.
What's the role about?
We are reinventing our business for the modern retail world. Our Strategy area for the Partnership will ensure that all of our customer data and insights are used to define where we’ll play, how we’ll win and what we prioritise to ensure that the strategic direction of our business is clear and unambiguous. We are looking for a Senior Analyst who can work across teams, is self motivated and strives for continuous improvement.
The core of this role is to help the Partnership make insight-driven, better informed, customer-centric decisions. In order to do this, you will need to work closely with teams across the Partnership, getting close to their world; hearing their problems and spotting the opportunities to improve things through a better understanding of the customer. You will use your analytical mindset and knowledge of the customer to improve the speed and quality of decision making.
What will you be doing?
You will be working with teams from across Waitrose, particularly the waitrose.com product team, to help them understand what their business challenges are. You will come up with actionable customer-focussed insights to help teams address these challenges.
You’ll work with product owners to plan, run and evaluate the outcome of A/B and multivariate tests. You will help size proposed product changes, and evaluate their impact on the business once implemented. You’ll also design KPIs that help product owners understand how different parts of the online business are performing, and to then visualise these using dashboards where appropriate.
You will work with a variety of tools, such as Google Analytics, Google BigQuery, Google Data Studio, Tableau, Monetate, Firebase and more. Existing knowledge of these will be helpful in the role.
Why do our insight Partners love working with us?
As part of the insight team you will be at the heart of the Partnership. You will be working within a wider Insight team with almost 100 bright and driven professionals pulling in one direction to support this unique business through analytics, data science and research. Your positive, can-do attitude will fit right in!
What you'll already have:
• Bachelor's degree
• Some experience of working as a data or product analyst, ideally at a retailer or e-commerce business
• Proficient in SQL
• Familiarity with Python or R preferred
• Experience of using Google Analytics or Adobe Analytics
• Some experience of setting up and running A/B tests and an understanding of experiment design
• Basic knowledge of relevant statistical techniques
• Experience of data visualisation tools such as Tableau or Google Data Studio
• Experience of synthesising complex and ambiguous information in order to drive actionable insight brought to life through communication and visualisation
What else you could bring:
Commercial acumen
An innate curiosity about how customers engage with, and shop, retail
Technical skill, knowledge and experience in the use of Big Data
External candidates: Please see the job description PDF formore details.
Internal candidates: Please follow this link to view the job description:
https://drive.google.com/file/d/1tlgu4jd5kGdyPtLxzPKTkkh6AJvAxm4s/view?usp=sharing
PLEASE NOTE:
The application form consists of a CV upload, an online test followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to in time. (If internal, check your Workday notifications and see further guidance on the PDW under "Internal application process")
We occasionally close vacancies early in the event we receive a high volume of applications. Therefore, we recommend you apply early ​
As a business we encourage flexible working. We have a number of different ways to work flexibly, so at your interview feel free to talk about what flexibility means to you. There are no guarantees, however, examples of how our Partners already work flexibly include part-time, job share, home working and compressed hours.
Job ID: 55221
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