At a Glance
- Tasks: Analyse data to uncover insights and optimise marketing performance for a leading consumer brand.
- Company: Join a fast-growing consumer brand focused on customer behaviour and marketing optimisation.
- Benefits: Competitive pay, flexible working, and the chance to work with industry leaders.
- Why this job: Make a real impact by driving customer acquisition and retention through data analysis.
- Qualifications: Strong SQL and Python skills, plus experience in marketing data analysis.
- Other info: Fast-paced environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
Marketing Data Analyst
We’re partnering with a well‑known consumer brand that’s on a mission to deepen its understanding of customer behaviour and optimise marketing performance. They’re scaling fast and are looking for a Marketing Data Analyst to help the team better understand customer behaviour and optimise acquisition performance across digital channels.
This is a great opportunity for someone who enjoys working in fast‑paced, data‑driven environments and partnering directly with marketing leaders to drive commercial impact.
The Project:
- Partner closely with the Marketing and Growth teams to tackle complex commercial challenges that drive customer acquisition and retention
- Analyse customer and campaign data to uncover actionable insights and growth opportunities
- Build and maintain Looker dashboards to enable data‑led decision‑making
- Conduct deep dives into channel performance, customer LTV, CAC, and ROAS to guide spend and strategy
- Work with marketing data sources (CRM, referral, and paid media) to evaluate performance and efficiency
What we’re looking for:
- Strong SQL and Python (or R) skills for hands‑on analysis
- Proven experience supporting Marketing, Growth, or Performance teams in a data‑focused capacity
- Expertise in Looker and BigQuery (essential)
- Deep understanding of marketing metrics such as CAC, LTV, Payback Period, and ROAS
- Experience working in a high‑growth, fast‑moving environment
- Strong commercial mindset and ability to translate data into clear business recommendations
You must be based in the UK. Unfortunately this role does not offer sponsorship.
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Analyst
Industry: Data Infrastructure and Analytics
#J-18808-Ljbffr
Marketing Data Analyst employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you’re interested in. A friendly chat can open doors and give you insights that job descriptions just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your SQL, Python, or Looker expertise. This not only demonstrates your abilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s marketing strategies. Understand their customer acquisition tactics and be ready to share how your data analysis can help optimise their performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Data Analyst. Highlight your SQL and Python skills, and any experience you have with Looker and BigQuery. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in marketing and how you can help us optimise customer acquisition. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've analysed data to drive marketing decisions or improve performance. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Cognify Search
✨Know Your Data Tools
Make sure you brush up on your SQL and Python (or R) skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to marketing data analysis. Familiarity with Looker and BigQuery will definitely give you an edge!
✨Understand Key Marketing Metrics
Get comfortable with key marketing metrics like CAC, LTV, Payback Period, and ROAS. Be prepared to explain how these metrics influence marketing strategies and decisions. Showing that you can translate data into actionable insights will impress the interviewers.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Think of examples from your previous experience where you tackled complex commercial challenges or improved customer acquisition through data analysis.
✨Show Your Commercial Mindset
During the interview, highlight your ability to connect data insights with business outcomes. Discuss how your analytical work has driven commercial impact in past roles. This will show that you understand the bigger picture and can contribute to the company's growth.