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- Tasks: Lead analytics for supply and operations, manage an analyst, and drive data initiatives.
- Company: Join a rapidly growing B-Corp retailer focused on recycling and sustainability.
- Benefits: Enjoy a competitive salary, benefits, and a hybrid work model in London.
- Why this job: Make a real impact in a purpose-driven company while developing your analytical skills.
- Qualifications: Strong background in analytics, SQL, Tableau, Python, and experience in eCommerce.
- Other info: Mentorship opportunities available within a supportive analytics team.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Analyst
£85,000-£95,000 + benefits
️ SQL, Tableau, Python, Experimentation
London, twice a week in office
B-Corp retailer promoting recycling & sustainability
We are partnered with a rapidly growing online retailer & B-Corp whose purpose is to encourage the recycling & sustainability.
The role…
The Lead Analyst is key to advancing analytical capabilities and data maturity, enabling the next stage of growth. This role is both a manager to at least one analyst as well as an individual contributor and will support the Director of Analytics in setting direction, driving broader initiatives and best practices for analytics across the business.
What you\’ll be doing…
- You will own reporting and analytics for the supply and operations functions of the business.
- You will leading initiatives end-to-end, which involves building and validating datasets, developing reporting, analysing complex datasets, and presenting results and actionable recommendations, and measurement of resulting actions.
- You will collaborate closely with key business partners in Product, Tech, and others.
- You will communicate insights effectively, translating complex analyses into clear, actionable recommendations with a strong focus on commercial impact.
- You will engage with both technical and non-technical stakeholders, including senior executives, to align data-driven insights with strategic goals.
- You will lead and manage one analyst and ensure their success and development.
- You will provide mentorship to the wider analytics team.
What they need…
- Impressive background in analytics, ideally from Ecommerce/Marketplace background.
- Technical expertise with SQL, Tableau/Looker/PowerBI and Python
- User funnel analysis experience, segmentation, and LTV forecasting.
- A/B Testing experience.
- Familiarity with mentoring and technical leadership.
If you are If you are interested in finding out more, please apply or contact me directly!
Lead Data Analyst
£85,000-£95,000 + benefits
️ SQL, Tableau, Python, Experimentation
London, twice a week in office
B-Corp retailer promoting recycling & sustainability
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
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Lead Data Analyst employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Familiarise yourself with the company's mission on recycling and sustainability. Understanding their core values will help you align your insights and recommendations with their strategic goals, making you a more appealing candidate.
✨Tip Number 2
Brush up on your SQL, Tableau, and Python skills. Since these are key technical requirements for the role, demonstrating your proficiency in these areas during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and user funnel analysis. Be ready to share specific examples of how your analyses have led to actionable insights and measurable outcomes in previous roles.
✨Tip Number 4
Think about how you would mentor an analyst and lead a team. Highlighting your leadership style and how you can contribute to the development of others will resonate well with the hiring team.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Tableau, and Python. Include specific examples of how you've used these tools in previous roles, especially in eCommerce or marketplace settings.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical background and your ability to lead and mentor others. Discuss your experience with A/B testing and user funnel analysis, and how these skills can contribute to the company's goals.
Showcase Your Communication Skills: Since the role involves engaging with both technical and non-technical stakeholders, provide examples in your application of how you've effectively communicated complex analyses in the past. This could be through presentations or reports.
Highlight Your Leadership Experience: If you have experience managing or mentoring other analysts, make sure to include this in your application. Discuss how you've supported the development of your team and contributed to broader analytics initiatives.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Technical Skills
Make sure to highlight your expertise in SQL, Tableau, and Python during the interview. Prepare examples of how you've used these tools in previous roles, especially in eCommerce or marketplace settings, to demonstrate your analytical capabilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to analyse complex datasets. Be ready to discuss specific scenarios where you led initiatives, conducted A/B testing, or provided actionable insights that had a commercial impact.
✨Emphasise Leadership and Mentorship Experience
Since this role involves managing an analyst, be prepared to talk about your leadership style and any experience you have in mentoring others. Share examples of how you've supported team members' development and contributed to a positive team culture.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex analyses in simple terms. You’ll need to engage with both technical and non-technical stakeholders, so demonstrating your ability to translate data-driven insights into clear recommendations will be crucial.
