Data and Insight Analyst
at SportPursuit
London SW9 6DE, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 09 Feb, 2025 | GBP 35000 Annual | 25 Jan, 2025 | N/A | Good communication skills | No | No |
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Description:
At Sportscape, home of sportpursuit.com and privatesportshop.fr we leverage data to deliver the right content to the right audience, optimise our marketing spend for maximum impact, make informed product purchasing decisions, and quickly address supply chain challenges. We have ambitious plans to do even more and further empower our teams with data-driven decision-making. To support these efforts, we are seeking a Data and Insight Analyst to join our Central Data Team.
In this role, you’ll play a crucial part in using data and insights to enhance our business operations, driving revenue growth and improving efficiency as we scale. You will have the unique opportunity to collaborate closely with every team across the business. By understanding their operations and challenges, you’ll identify how data can help solve problems and unlock new opportunities.
Please note as part of our application process we look for AI-generated content. Any application including such content will be systematically rejected.
ABOUT US:
SportPursuit and its sister company Private Sport Shop form the Sportscape group, with the ambition to build Europe’s leading sports and outdoors hub.
SportPursuit fuels sporting adventure with affordable, great quality kit. Founded in 2011, we are an innovative online retailer with over 10 million members across the UK, Europe and beyond. We hunt down the best deals available online on a wide range of quality sports and outdoor brands and create an inspiring, personalised shopping experience for each customer. Everyone in the SportPursuit team has the opportunity to make a difference and help grow the business.
Job Types: Full-time, Permanent
Pay: £30,000.00-£35,000.00 per year
Benefits:
- Additional leave
- Employee discount
- Enhanced maternity leave
- Enhanced paternity leave
- Flexitime
- Work from home
Schedule:
- Monday to Friday
- No weekends
Work Location: In perso
How To Apply:
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Responsibilities:
A LITTLE BIT MORE ABOUT THIS ROLE:
This is a hybrid position, offering flexibility for remote work and the opportunity to collaborate in person at either of our offices in London or Vendargues (France), where our team regularly comes together.
This role suits someone in the early stage of their career. Some professional experience is welcome but we would highly value a passionate candidate with little to no professional experience.
We look for someone who is genuinely interested in what makes our business tick, and how data and analysis can be used to understand and improve every aspect of the business, generating long-term value. The role will be varied and engaging, but will include:
1) Creating Data Models & Building Consistent Centralised Reporting
- Analytics Engineering - in this role, you’ll use dbt to build and optimise our data infrastructure, ensuring clean, reliable data for our stakeholders.
- Model Development: Design, build, and maintain dbt models to support data needs and ensure optimal performance.
- Testing & documentation: Create dbt tests to validate data quality and prevent issues. Document model logic to ensure clarity and transparency.
- Continuous Improvement: Identify and implement dbt best practices to enhance transformation efficiency.
Use our BI tool Mode to:
- Maintain and enhance real-time reporting for our Trading and Customer Service teams.
- Automate daily/weekly/monthly reporting to monitor business performance for all teams.
- Help inform business decisions with insightful reporting
2) Delivering Insight
- Provide analytical insight for commercial owners across the business to both inform and support operational and strategic decision making.
- Deliver ad hoc bespoke analysis and field queries to help the executive team and wider business answer key commercial questions.
- Analyse web analytics data and provide insight on the likely explanations behind deviances with actionable suggestions for improvements.
- Use Bayesian Statistics to run A/B Tests, delivering robust advice to the business on which improvements to implement.
3) Supporting on Data-Driven Projects
- These include various forecasting models typically built in Python
- Anything from helping work out how many people will visit the website each day through calculating the future value of all our members
- A chance to deploy cutting-edge machine learning techniques that really have an impact
Requirements
A little bit about you: To thrive in the Sportscape team you will have a problem-solving mindset, able to respond to challenges with creative solutions. You will be a team player and will be willing to get stuck in, one of our key values at Sportscape. We actively encourage everyone in the Sportscape team to continue to develop and build new skills so a willingness to learn will be important. We do however require a few specifics from you.
TO BE SUCCESSFUL IN THIS ROLE YOU MUST:
- Have excellent analytical and numeracy skills
- Be skilled in either Python, SQL, R or a combination of those!
- Possess a passion for data and accuracy
- Be very logical and very detailed
- Have a numerate degree
- Good written and verbal communication skills, comfortable explaining simple conclusions from complex analysis to anyone across the business
- Be curious and demonstrate a strong desire to constantly learn
- Be an effective communicator in both written and verbal English
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
London SW9 6DE, United Kingdom