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- Tasks: Analyse customer data and create insightful reports using SQL and Python.
- Company: Join a leading sports organisation passionate about data and customer insights.
- Benefits: Enjoy a competitive salary, health insurance, gym access, and exclusive event tickets.
- Why this job: Make an impact in a dynamic team while working on exciting customer analytics projects.
- Qualifications: 2+ years of data analyst experience with strong SQL skills; Python knowledge is a plus.
- Other info: Flexible working hours with 3 days in the office and 25 days annual leave.
The predicted salary is between 33000 - 58000 £ per year.
Are you passionate about data and insights? We're looking for a skilled Data Analyst to join a dynamic team within a leading sports organization. This role offers a great opportunity to work on diverse customer analytics projects, with a focus on segmentation, churn, and retention from membership and event data.
Key Responsibilities:
- Analyze customer data from membership and event sources, including segmentation, lapse, and retention.
- Develop and maintain dataflows to ensure data accessibility and accuracy.
- Collaborate with the CRM team to support campaigns and personalization opportunities.
- Lead and contribute to high-priority insight projects, including attendee profiling, membership renewal rates, and booking traffic analysis.
- Create and present data reports and dashboards using SQL and Python.
Ideal Candidate:
- 2+ years of experience in a similar data analyst role.
- Proficient in SQL (required).
- Experience with Python (preferred) and running monthly scripts.
- Exposure to CRM teams and customer insight projects.
- Bonus points for experience with Salesforce and CRM Analytics.
- Strong communication skills, with the ability to present insights clearly to stakeholders.
Perks & Benefits:
- Competitive salary of £41,500 with a performance-based bonus.
- Health insurance and strong pension plan.
- Gym access, with opportunities to play tennis and padel.
- Access to exclusive events, including Wimbledon and Queen's tickets.
- Flexible working hours with 3 days in the office per week.
- 25 days annual leave + the option to buy more.
Location: London (3 days in office, Monday mandatory). If you are driven by insights and eager to make an impact within a prestigious organization, we'd love to hear from you! Apply today.
Data Analyst Customer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Customer
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, particularly SQL and Python. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 2
Research the sports organisation and its customer base thoroughly. Understanding their membership structure and event data will allow you to speak knowledgeably about how you can contribute to their analytics projects.
✨Tip Number 3
Prepare examples of past projects where you've successfully analysed customer data, especially in relation to segmentation and retention. Be ready to discuss the impact of your insights on business decisions.
✨Tip Number 4
Network with current or former employees of the organisation on platforms like LinkedIn. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
We think you need these skills to ace Data Analyst Customer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with customer data. Emphasise your proficiency in SQL and any experience with Python, as these are key requirements for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and insights. Mention specific projects or experiences that demonstrate your ability to analyse customer data and collaborate with teams, especially in CRM contexts.
Showcase Your Skills: When detailing your skills, focus on your analytical abilities and experience with data reporting tools. Highlight any experience you have with Salesforce and CRM Analytics, as this will give you an edge.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous projects in detail. Prepare to explain how you've used SQL and Python in your work, and think about how you can present insights clearly to stakeholders.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you used these skills, especially those related to customer analytics, segmentation, or retention.
✨Understand the Company’s Focus
Research the sports organisation and its customer base. Familiarise yourself with their events and membership structure, as this will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Insight Presentation
Since the role involves creating and presenting data reports, practice explaining complex data insights in a clear and concise manner. Use visuals if possible, as this can help convey your points effectively during the interview.
✨Highlight Collaboration Experience
Emphasise your ability to work with cross-functional teams, particularly with CRM teams. Share specific examples of how you've collaborated on projects that required teamwork and communication to achieve common goals.
