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- Tasks: Lead analytics projects for top sports brands, blending technical skills with strategic insights.
- Company: Join a leading data-driven sports marketing agency with over 20 years of industry experience.
- Benefits: Enjoy a hybrid work model and competitive day rates, plus the chance to work on exciting projects.
- Why this job: Be at the forefront of sports and data, making a real impact in a fast-paced environment.
- Qualifications: Strong SQL, Python, and dashboarding skills required; experience in sports or retail is a plus.
- Other info: This is a 3-month contract role with a quick start and a dynamic interview process.
Location: Holborn, London (Hybrid - 3-4 days per week in office)
Contract: 3-Month Contract (Outside IR35)
Day Rate: £500-£600 per day
Start Date: ASAP
Interview Process: 2 Stages
Overview
Join a dynamic and growing data-led sports marketing agency as a Lead Data Analyst, delivering strategic and technical insights across some of the world's biggest sports brands. This is a unique opportunity to work at the intersection of sports, data and strategy in a fast-paced, client-facing role. The role offers a 50/50 balance between hands-on technical work and strategic thinking. This agency has been a key player in the sports marketing landscape for over 20 years.
Key Responsibilities
- Lead and deliver analytics work across multiple client projects (typically 3-4 at a time).
- Design and deliver bespoke analytics projects such as segmentation, LTV modelling, pricing optimisation, and CRM integration.
- Conduct full data audits for clients and create strategic roadmaps for digital and data transformation.
- Develop dashboards and reporting tools using Power BI, BigQuery, and Looker.
- Merge online and offline data sources into unified reporting structures.
- Act as a product owner for data-driven initiatives, translating client needs into actionable deliverables.
- Liaise with stakeholders both internally and externally, including client strategy teams and internal board members.
Must-Have Skills:
- Strong SQL and experience working with Google Cloud Platform, particularly BigQuery.
- Dashboarding and reporting experience with Power BI and/or Looker.
- Proficiency in Python for data analysis and modelling.
- Experience delivering bespoke analytics projects using 1st party data (e.g. LTV, segmentation, churn models).
- Strong client-facing and stakeholder management experience.
- Ability to manage multiple deliverables in parallel in a fast-paced, project-based environment.
Nice-to-Have Skills:
- Exposure to Tableau, Google Analytics, Salesforce, or other major digital and CRM platforms.
- Experience in the sports industry or retail working with complex and large datasets.
Lead Data Analyst Python SQL employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst Python SQL
✨Tip Number 1
Familiarise yourself with the latest trends in sports marketing and data analytics. Understanding the industry landscape will help you speak confidently about how your skills can contribute to the agency's goals during interviews.
✨Tip Number 2
Prepare to discuss specific projects where you've successfully used SQL, Python, and dashboarding tools like Power BI or Looker. Be ready to explain your thought process and the impact of your work on previous clients or projects.
✨Tip Number 3
Network with professionals in the sports marketing and data analytics fields. Engaging with industry peers can provide insights into the role and may even lead to referrals that could strengthen your application.
✨Tip Number 4
Demonstrate your ability to manage multiple projects by sharing examples of how you've prioritised tasks and met deadlines in fast-paced environments. This will show your potential employer that you're well-equipped for the demands of the role.
We think you need these skills to ace Lead Data Analyst Python SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data analytics. Include specific projects where you've used these skills, especially in a client-facing role or within the sports industry.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and the sports industry. Mention how your skills align with the key responsibilities of the role, such as delivering bespoke analytics projects and managing multiple deliverables.
Showcase Relevant Projects: If you have examples of previous work, such as dashboards created in Power BI or analytics projects using BigQuery, be sure to mention these. Providing concrete examples can set you apart from other candidates.
Prepare for the Interview: Since the interview process has two stages, prepare by reviewing common data analyst interview questions. Be ready to discuss your technical skills and how you've successfully managed client relationships in past roles.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to data analysis and modelling.
✨Demonstrate Your Client-Facing Experience
Since this role involves liaising with clients and stakeholders, share examples of how you've successfully managed client relationships in the past. Discuss any challenges you faced and how you overcame them to deliver results.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach designing bespoke analytics projects or conducting data audits, and be ready to explain your thought process.
✨Familiarise Yourself with the Company
Research the agency's work in the sports marketing landscape. Understanding their key clients and recent projects will help you tailor your responses and show genuine interest in the role and the company.
