At a Glance
- Tasks: Own and develop impactful retail performance reporting and insights using Tableau.
- Company: Fast-growing, data-driven B2B organisation with a tech focus.
- Benefits: £65,000 salary, hybrid working, and clear progression opportunities.
- Other info: Collaborative culture with high exposure to senior leadership.
- Why this job: Make a real impact on pricing decisions and client outcomes.
- Qualifications: Strong Tableau and SQL skills, with experience influencing business outcomes.
The predicted salary is between 65000 - 65000 £ per year.
This is a high impact Retail Data Analyst role within a fast growing, data driven organisation where insight directly shapes pricing decisions, performance optimisation, and client outcomes. You will have genuine ownership, strong visibility, and the opportunity to influence how data is used across the business.
The Company
They are a technology led B2B organisation operating at scale, with a strong focus on using data to drive decision making. The business has grown rapidly in recent years and continues to invest in its analytics capability as it expands. Analytics is highly visible and closely connected to leadership priorities, offering clear opportunities for progression and impact.
The Role
You will join a lean analytics function within a wider business operations team, taking ownership of core retail style performance reporting and insight.
Key responsibilities include:
- Owning and developing reporting and dashboards in Tableau
- Working closely with stakeholders across finance, operations, and client facing teams
- Analysing pricing performance, revenue trends, and client engagement
- Building data led recommendations to support pricing reviews and renewals
- Managing incoming data and reporting requests, setting priorities independently
- Presenting insights and recommendations to senior stakeholders
- Maintaining Tableau dashboards, permissions, and data governance
- Tracking operational KPIs, delivery targets, and team productivity to identify improvement opportunities
Your Skills and Experience
To succeed in this role, you will bring:
- Strong end to end Tableau experience, including building, publishing, and maintaining dashboards
- Solid SQL capability for analysis and reporting
- Experience delivering insight that influences pricing, revenue, or performance outcomes
- Confidence working with senior stakeholders and explaining the story behind the data
- A proactive mindset with clear ownership and autonomy in your work
What They Offer
- Salary of £65,000
- Hybrid working with three days per week in the London office
- High exposure to senior leadership and decision makers
- Strong ownership and scope to shape the role
- Clear progression opportunities in a scaling organisation
- Broad exposure across data, finance, and operations
- A collaborative and supportive team culture
How to Apply
If you are a Retail Data Analyst looking for a role with visibility, ownership, and real business impact, apply now to learn more.
Retail Data Analyst in London employer: Harnham
Join a dynamic and rapidly growing technology-led B2B organisation in London, where as a Retail Data Analyst, you will enjoy hybrid working and the chance to make a significant impact on pricing decisions and performance optimisation. With a strong focus on data-driven decision making, the company fosters a collaborative culture that encourages ownership and offers clear progression opportunities, ensuring that your contributions are recognised and valued within a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Data Analyst in London
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We think you need these skills to ace Retail Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
