At a Glance
- Tasks: Analyse data to improve performance and create insightful dashboards for decision-making.
- Company: Join the UK's largest employee-owned business, home to John Lewis and Waitrose.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive work-life balance.
- Why this job: Be part of a culture that values innovation, collaboration, and personal growth.
- Qualifications: Proficiency in GCP, SQL, and data visualisation tools like Tableau or Looker required.
- Other info: Apply early as roles may close quickly due to high demand.
The predicted salary is between 51000 - 66000 ÂŁ per year.
Apply on JLP Jobs – the official careers website for John Lewis Partnership, John Lewis & Partners, and Waitrose & Partners.
About the role
As a Data Engineer, Space, Range and Formats, you will be responsible for analysing Space, Range and Formats key performance indicators and identifying areas for improvement by gathering, analysing and interpreting data to provide insights and recommendations that drive informed decision making and improve process and performance as well as influence our future strategy. This role requires strong analytical skills, attention to detail and the ability to communicate complex information effectively, to facilitate this a primary focus of the roles to create a robust foundation data layer and to build and support internal-facing Management Information (MI) and Business Intelligence (BI) dashboards, for both technical and non-technical audiences.With a relentless connection to our customers, the commercial teams and branches alike, you’ll both; set up and continuously improve regular performance reporting, and lead projects to shape, optimise, and improve Waitrose performance. Rooted in adaptability, driven by a continuous improvement mindset, and fueled by a commitment to getting it right first time.
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Expected salary – ÂŁ59,000- ÂŁ75,000 (dependent on experience).
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Contract type – This position is a Permanent contract.
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Working pattern/flexible working – The Partnership has adopted a hybrid working approach, meaning you\’ll be able to work a mixture between the office and home based upon your personal needs whilst balancing the needs of the business. The Analytics and Data Science team aim for around 2 days a week in the office to connect and on a more ad-hoc basis to attend key meetings.
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Location – This role is based at our Bracknell Head Office.
Key responsibilities
Data Collection, Management & Maintenance:Collect data from various sources (e.g., databases, Snowflake, CCM), ensuring data quality and accuracy. Clean, validate, and prepare data for analysis. Maintain organized data repositories.
Data Analysis & Interpretation: Conduct quantitative and qualitative analysis using appropriate tools and techniques (e.g., statistical analysis, trend analysis, forecasting). Identify patterns, trends, and anomalies in data. Interpret findings and translate them into actionable insights or opportunities to drive performance
Reporting & Visualization:Create and maintain clear, concise, and visually appealing reports, dashboards, and presentations to communicate findings and clear “so what” recommendations to stakeholders. Tailoring communication approach to different audiences.
Problem Solving & Solution Development:Identify business problems and opportunities. Analyse root causes and develop data-driven solutions. Evaluate the effectiveness of implemented solutions.
Collaboration & Communication: Collaborate with cross-functional teams to understand business requirements, gather feedback, and present findings. Actively participate in team meetings and discussions.
Ad-Hoc Analysis: Complete ad-hoc analysis at pace in response to key business issues or opportunities.
Essential skills/experience you’ll need
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Technical Skills: Proficiency in GCP Core Services: Compute Engine, GKE, Storage, SQL, BigQuery, Pub/Sub, Functions.
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Visualisation: Experience in Tableau, Looker, Power B
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SQL: Querying and manipulating data in Cloud SQL, Snowflake or BigQuery.I
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Analytical Skills: Strong analytical and problem-solving skills with the ability to analyze complex data and draw meaningful conclusions.
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Communication Skills: Excellent written and verbal communication skills, including the ability to present complex informationclearly and concisely
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Attention to Detail: Meticulous attention to detail and a commitment to data accuracy.
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Problem-Solving Skills: Ability to identify and define problems, develop creative solutions, and implement them effectively.
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Collaboration Skills: Ability to work effectively in a team environment and collaborate with cross-functional teams
Desirable skills/experience you may have
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Space, Range & Formats Experience: Previous experience in Space, Range & Formats reporting and analysis in a Grocery Retailer
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Data Pipelining, ETL
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The partnership
We’re the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We’re not just employees, we’re Partners, driven by our purpose to build a happier world. As we look to our future, there’s never been a more exciting time to join us.
We’re ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose.
As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect.
We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we’re free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective.
As Partners, we make all the difference. And, we all own it.
Important points to note:
It’s important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you’ll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles.
We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants.
We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview.
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Data Engineer, Space, Range and Formats employer: John Lewis Partnership
Contact Detail:
John Lewis Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Space, Range and Formats
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as GCP Core Services, SQL, and data visualisation tools like Tableau or Looker. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Network with current or former employees of John Lewis Partnership to gain insights into the company culture and expectations for the Data Engineer role. This can provide you with valuable information that may help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive performance improvements in previous roles. Be ready to explain your thought process and the impact of your recommendations on business outcomes.
✨Tip Number 4
Showcase your problem-solving skills by preparing a case study or example where you identified a business problem, analysed data, and implemented a solution. This will demonstrate your analytical mindset and ability to deliver results.
We think you need these skills to ace Data Engineer, Space, Range and Formats
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as data analysis, reporting, and collaboration. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, focus on your technical skills and any relevant experience in data engineering, particularly with tools like SQL, BigQuery, and Tableau. Provide specific examples of past projects where you successfully analysed data and created reports or dashboards.
Showcase Communication Skills: Since the role requires effective communication of complex information, include examples in your application that demonstrate your ability to present data clearly to both technical and non-technical audiences. This could be through presentations, reports, or collaborative projects.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that your documents are well-organised and visually appealing. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at John Lewis Partnership
✨Showcase Your Analytical Skills
As a Data Engineer, you'll need to demonstrate your strong analytical skills. Prepare examples of past projects where you successfully analysed data and derived actionable insights. Be ready to discuss the tools and techniques you used, such as statistical analysis or trend forecasting.
✨Communicate Complex Information Clearly
Effective communication is key in this role. Practice explaining complex data findings in simple terms. You might want to prepare a brief presentation or report that showcases your ability to tailor your communication style to different audiences, especially for non-technical stakeholders.
✨Highlight Your Technical Proficiency
Familiarise yourself with the technical skills mentioned in the job description, such as GCP Core Services and SQL. Be prepared to discuss your experience with these technologies and how you've applied them in previous roles. If possible, bring examples of dashboards or reports you've created.
✨Demonstrate Problem-Solving Abilities
The role requires a strong problem-solving mindset. Think of specific instances where you identified a business problem, analysed the root cause, and developed a data-driven solution. Be ready to explain your thought process and the impact of your solutions on performance.