Jobgether
Lead Marketing Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Lead Marketing Analyst - Remote, United Kingdom
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Marketing Analyst based in the United Kingdom.
This is an exciting opportunity to lead marketing analytics initiatives within a global, data-driven organization operating at scale.
You will play a key role in transforming complex marketing data into strategic insights that drive business growth and optimize campaign performance.
The role combines advanced analytics, experimentation, predictive modeling, and performance measurement to support informed decision-making.
You will collaborate with cross-functional teams to improve marketing efficiency, automate reporting, and develop scalable analytical frameworks.
This position offers significant ownership over analytics processes while influencing strategic marketing initiatives across multiple markets.
You will thrive in a remote-first, international environment that values innovation, continuous learning, and analytical excellence.
The role is ideal for an experienced marketing analyst who enjoys solving business challenges through data and experimentation.
Accountabilities
- You will be responsible for leading marketing analytics initiatives, ensuring data accuracy, and delivering actionable insights that improve marketing performance and business outcomes. Your work will support strategic decision-making through advanced analysis, experimentation, and predictive modeling.
- Own marketing analytics processes, reporting frameworks, dashboards, and data quality standards.
- Monitor key marketing and business performance indicators to identify trends, risks, and growth opportunities.
- Conduct root cause analyses and provide data-driven recommendations to improve marketing effectiveness.
- Design, prioritize, and evaluate A/B tests and marketing experiments across acquisition, retention, and engagement initiatives.
- Develop, maintain, and improve predictive models for attribution, forecasting, customer segmentation, and budget allocation.
- Identify opportunities to optimize analytical processes through automation and continuous improvement.
- Enhance marketing measurement methodologies and establish best practices for reporting and analytics.
- Collaborate with cross-functional stakeholders to translate business needs into analytical solutions that support strategic objectives.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
The ideal candidate is an experienced marketing analytics professional with strong technical skills, a deep understanding of statistical methodologies, and the ability to transform data into actionable business insights.
- Higher education in mathematics, statistics, economics, computer science, or another quantitative discipline.
- Strong proficiency in SQL for data extraction, analysis, and reporting.
- Advanced Google Sheets skills, including pivot tables and complex data manipulation.
- Solid understanding of statistics, experimental design, and A/B testing methodologies.
- Proven experience in marketing analytics and predictive modeling.
- Strong analytical thinking and problem-solving skills with a business-oriented mindset.
- English proficiency at B2 level or higher.
Nice-to-have Qualifications
- Experience using Python or R for statistical analysis and data modeling.
- Experience building automated reporting systems and analytics workflows.
- Knowledge of marketing experimentation frameworks and incrementality measurement.
- Experience working with attribution models, paid acquisition channels, and digital advertising platforms such as Google Ads or Meta Ads.
Benefits
- Fully remote full-time work opportunity.
- 7 additional wellness days each year to support your well-being.
- Employee referral bonus program with rewards of up to $5,000.
- Full funding for professional training, certifications, international conferences, and industry events.
- Corporate discounts on English language courses.
- Healthcare support, including reimbursement for medical expenses or health insurance where applicable.
- Home office or coworking reimbursement to help create a productive workspace.
- Necessary work equipment and workplace support depending on location.
- Internal employee recognition program with redeemable rewards, additional time off, merchandise, and team activities.
- Opportunity to work within a global, diverse, and collaborative remote environment.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location