Senior Analyst, Analytics

John Lewis Partnership; Greater London; Hybrid; GBP 51,000 - 60,000; Full time

Job summary

A leading UK retail firm is seeking a Senior Analyst to use advanced analytics in decision-making. The role requires proficiency in SQL and Python, along with the ability to communicate findings effectively. This is a hybrid position, combining remote work with time at the London office. The expected salary ranges from £51,000 to £60,000 based on experience.

Qualifications

• Demonstrable experience applying advanced analytics and statistical techniques to drive decision-making.
• Experience presenting technical findings to non-technical or senior audiences.

Responsibilities

• Manipulate, analyse, build models from large data sets.
• Identify the right analytical approach to answer business questions.
• Communicate projects and recommendations clearly to create value.

Skills

Proficiency in SQL

Proficiency in Python

Visualisation Tools for data manipulation

Analytical Techniques

Clear Communication

Education

Relevant qualification in a numerate discipline

Tools

Data Analysis Tools

Job description

About the role

The Analytics Team is spread right across the Partnership, using advanced analytics to help stakeholders solve problems and make better decisions. As a Senior Analyst, you will be allocated to a part of the business and work with your line manager to maximise impact and value of your projects. You will achieve that through the application of your technical expertise, appropriate analytical techniques, clear storytelling, recommendations and timely delivery. This is a hands‑on role and you could be expected to work on several analytical projects independently and simultaneously. We are looking for Partners who are passionate about solving business problems, with curious and pragmatic mindsets. In addition, we are looking for analysts who not only have good technical knowledge, but who also have the ability to apply those skills in a practical and time‑sensitive way with great communication.

At a glance

• Working pattern - This is a hybrid working role, therefore your time will primarily be split between working from home and the London Head Office. There will be occasional travel to our other locations

• Our team currently works from the office on an ad‑hoc basis to collaborate and attend key meetings, but again the frequency is dependent on the business needs.

• Expected Salary - £51,000 - £60,000 (depending on experience)

• Contract type - Permanent.

What you will be doing

You will be proactive and be able to create business value and improve business decision making using analytical techniques. You will be responsible for delivering your projects on time and to the necessary standard.

Day to day you will:

• Manipulate, analyse, build models and draw conclusions from large data sets to impact decision making

• Identify the right analytical approach and methodology to answer business questions

• Be responsible for your own deliverables e.g. on time, right quality, analytically correct

• Create clear and impactful output in e.g. visualisation tools or slides

• Use visualisation tools and automation to increase efficiency

• Communicate projects and recommendations clearly and concisely to create value

• Understand your stakeholders' commercial strategies and goals to identify opportunities to create value

• Develop good relationships with stakeholders and become an extension of their team

• Drive a self‑serve culture across your stakeholder area

• Be an active contributor to the Analytics and Data Science team and the Profession

• Understand and engage other parts of DI&A as necessary

• Ensure that all work complies with the General Data Protection Regulation (GDPR) and adhere to all Partnership risk management and data privacy and security policies

• Invest in your personal and professional development utilising the opportunities available to you

• Demonstrate a flexible approach to working, joining projects as needed and/or supporting colleagues to secure the success of those projects

• Actively share the responsibilities of ownership and support Partners and colleagues to have a voice in our business.

Essential Skills you'll need

• Proficiency in SQL, Python & Visualisation Tools for data manipulation and analysis in a commercial environment

• Relevant qualification in a numerate discipline e.g. math/stats/data science/science or similar

• Demonstrable experience applying advanced analytics and statistical techniques to drive decision‑making applying advanced techniques

• Experience presenting technical findings to non‑technical or senior audiences.

Desirable Skills

• Experience of creating value from analytics

• Experience of influencing decisions through the use of analytics.

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About 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 occasionally close vacancies early in the event we receive a high volume of applications, and therefore, we recommend you apply early. If you require a reasonable adjustment due to a disability which means you may need longer to complete your application please contact us as soon as possible.

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.