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For Companies At a Glance
- Tasks: Lead marketing analytics to connect brand investment with revenue and optimise performance.
- Company: Join a fast-growing short-term insurance company revolutionising car insurance.
- Benefits: Enjoy hybrid working, generous holiday, and a healthy training budget.
- Why this job: Make a real impact in a dynamic environment with exciting growth opportunities.
- Qualifications: Advanced analytics experience and strong SQL skills required.
- Other info: Collaborative culture with regular team events and a focus on innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Tempcover is at the forefront of the fastâgrowing world of short term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers.
Responsibilities
- Own the measurement framework that connects brand & performance marketing investment to business revenue.
- Build a single source of truth for marketing performance; support brand media activity through advanced measurement (econometrics and controlled experiments).
- Provide handsâon support for midâtoâlower funnel channels (Paid Social, PPC) to ensure efficiency across the customer journey.
- Develop and refine attribution models (controlled experiments, multiâtouch attribution) to understand how brand metrics support lowerâfunnel conversion.
- Own brand tracker survey and use data to diagnose volatility and correlate with media spend.
- Design and analyze robust controlled experiments for creative, audience, and geoâtargeting.
- Build and maintain interactive dashboards that provide realâtime visibility into marketing KPIs for the Marketing team and Executive Board.
- Manipulate raw data from Azure, Google BigQuery and other sources to create clean, usable datasets for analysis.
- Establish data structures and reporting standards to onboard and manage future CRM/Retention analysts.
Qualifications
- Advanced Analytics experience in Marketing Analytics, both Brand (econometrics, controlled experiments, brand tracking) and Performance (digital attribution).
- Excellent SQL skills and data manipulation (Google BigQuery). Proficiency in Python or R for advanced modeling is highly desirable.
- Strong experience with data visualization tools (Tableau, Looker, PowerBI) and version control/data transformation tools (Git, dbt).
- Commercial acumen: building ROI models, forecasting, and presenting clear, actionable recommendations to senior stakeholders.
- Marketing fluency: understand the difference between Brand Awareness and ClickâThrough Rate and how they influence each other.
- Pragmatism & agility: fastâmoving challenger brand, need to decide when a model is "good enough" to make a quick decision.
- Industry knowledge: eâcommerce / online businesses. Insurance industry experience is a bonus.
Benefits
- 10% discretionary yearly bonus and yearly pay reviews.
- Hybrid working approach: 2 inâoffice days per week and up to 22 working days per year to "work from anywhere".
- Employer matching pension contributions up to 7.5%.
- Oneâoff ÂŁ300 "Work from Home" budget.
- Excellent maternity, paternity, shared parental and adoption leave policy.
- 25 days holiday (increasing with years of employment to 30 days) + 2 days "My Time" per year.
- Private medical cover, critical illness cover and employee assistance programme.
- A healthy learning and training budget.
- Electric vehicle and cycle to work schemes.
- Regular events â team socials to companyâwide events.
Lead Marketing Analyst in London employer: Tempcover
Contact Detail:
Tempcover Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Marketing Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your analytics expertise and how you've driven results in past roles. This will give potential employers a taste of what you can bring to the table.
â¨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to marketing analytics. Be ready to discuss your experience with SQL, data visualisation tools, and how you've tackled real-world challenges.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Lead Marketing Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the Lead Marketing Analyst role. Highlight your experience with marketing analytics, data manipulation, and any relevant tools like SQL or Python. We want to see how your skills align with our mission at Tempcover!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about marketing analytics and how you can contribute to our team. Be sure to mention specific projects or achievements that showcase your expertise.
Show Off Your Data Skills: Since this role involves a lot of data work, donât shy away from showcasing your analytical prowess. Mention your experience with data visualisation tools and any advanced modelling techniques you've used. We love seeing how you can turn raw data into actionable insights!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Tempcover
â¨Know Your Numbers
As a Lead Marketing Analyst, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to brand and performance marketing. Be ready to discuss how you've used data to drive decisions in past roles, especially focusing on ROI models and attribution.
â¨Showcase Your Technical Skills
Make sure you highlight your SQL skills and experience with data manipulation tools like Google BigQuery. If you've worked with Python or R for advanced modelling, share specific examples of projects where these skills made a difference.
â¨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems. Think about how you would design controlled experiments or develop attribution models. Practise explaining your thought process clearly and concisely, as this will show your pragmatism and agility.
â¨Understand the Business Context
Familiarise yourself with the insurance industry and e-commerce trends. Be prepared to discuss how brand awareness impacts lower-funnel conversions. Showing that you understand the bigger picture will impress the interviewers and demonstrate your commercial acumen.
