What's the role about?

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.

We have a number of roles available facing into two different business areas: Waitrose.com and JL.com

You have a choice of location for this role and you can work from either our London Victoria office or our Bracknell office.

What will you be doing?

You will be working with teams from across the business, including product, trading and marketing to help understand what their business challenges are. With this knowledge you will come up with actionable customer-focussed insights to help them address these challenges, presenting these findings to the teams to help them formulate successful solutions. You will work with a variety of tools, such as Google Analytics or Adobe Analytics, Google BigQuery, Sheets, Excel, Google Data Studio, Snowflake, Tableau and more. Existing knowledge of these will be helpful in the role.

Why do our insight people love working for 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, driven and energetic 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 have:

• Relevant qualification and/or extensive analytically-based experience using customer and transactional databases

• Experience of synthesising complex and ambiguous information in order to drive actionable insight brought to life through communication and visualisation

• Experience of coding in SQL. Also experience of SAS, R, Python, Big Query or other programming or statistical languages

• Google Analytics (GA) or Adobe Analytics, and an understanding of digital analytics techniques and methodologies, including A/B or multivariate testing

What else you could bring:

• Commercial acumen e.g. online or shop trading, business consulting

• An innate curiosity about how customers engage with, and shop, retail

• Technical skill, knowledge and experience in the use of Big Data, data visualisation, data manipulation and enterprise reporting techniques and tools

If internal, 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 ​

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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.