Marketing Analytics Team Lead

Jobgether • United Kingdom
Remote
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AI Summary

Lead a team of marketing and web analysts, shaping marketing decisions with data, and driving growth in a fast-scaling digital business.

Key Highlights
Lead a team of marketing and web analysts
Shape marketing decisions with data
Drive growth in a fast-scaling digital business
Key Responsibilities
Build and maintain a unified data-driven decision-making framework for marketing
Lead and develop a team of marketing and web analysts
Own marketing attribution and performance measurement across channels
Technical Skills Required
SQL Tableau dbt
Benefits & Perks
Flexible work setup
20 paid vacation days
Comprehensive health insurance
Nice to Have
Python
Google Analytics
Google Tag Manager

Job Description


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Marketing Analytics Team Lead based in United Kingdom.

This is a high-impact leadership role at the intersection of marketing, data, and growth, responsible for shaping how marketing decisions are made across a fast-scaling digital business. You will lead a team of analysts and own the end-to-end marketing analytics ecosystem, from tracking and attribution to dashboards and forecasting models. The role requires building scalable, reliable data foundations that support performance marketing, affiliate, SEO, and product-led growth initiatives. You will partner closely with Growth, Product, and Data Engineering teams to ensure data accuracy and consistency across all channels. This position offers strong ownership over analytical strategy, tooling, and team development in a highly dynamic, data-driven environment. It is ideal for a leader who thrives in fast-paced, performance-oriented organizations and enjoys turning complex data into clear business direction. You will directly influence investment decisions and growth strategy at scale.

Accountabilities

  • Build and maintain a unified data-driven decision-making framework for marketing, defining key metrics, reporting standards, dashboards, and analytical best practices across the organization.
  • Lead and develop a team of marketing and web analysts, setting priorities, defining responsibilities, and supporting career growth through mentoring and structured development plans.
  • Own marketing attribution and performance measurement across channels (affiliate, arbitrage, SEO, influencer marketing), ensuring accuracy of spend allocation and user segmentation.
  • Define requirements for Data Engineering teams to ensure high-quality data pipelines, consistent campaign structures, and reliable marketing datasets.
  • Oversee web analytics operations including event tracking, funnel analysis, and user behavior insights to optimize conversion performance.
  • Collaborate cross-functionally with traffic acquisition, product, growth, and data teams to deliver actionable insights that support strategic decision-making.
  • Maintain clear, structured, and up-to-date documentation across all marketing analytics processes and systems.

Requirements

  • 4+ years of experience in marketing or product analytics, including proven experience leading or managing analytics teams, ideally within performance-driven or iGaming environments.
  • Strong experience building analytics functions or frameworks from scratch, from requirements gathering to delivery of insights and reporting solutions.
  • Deep understanding of traffic acquisition models (CPA, hybrid, rev-share) and marketing attribution methodologies.
  • Advanced SQL skills for data extraction, transformation, and analysis.
  • Experience working with dbt, Git, and modern data warehouse architectures.
  • Hands-on experience with BI tools such as Tableau, including building scalable and insightful dashboards.
  • Strong understanding of statistics and predictive modeling concepts (e.g., LTV, revenue forecasting) with ability to guide model design and review outputs.
  • Excellent communication and presentation skills, with the ability to translate complex analytical insights into clear business recommendations.
  • (Nice to have) Experience with web analytics tools such as Google Analytics and Google Tag Manager.
  • (Nice to have) Knowledge of Python and exposure to ML-based modeling such as LTV prediction or user segmentation.

Benefits

  • Flexible work setup with full remote options or hybrid arrangements depending on preference.
  • Official employment support in Switzerland or Poland, including assistance with administrative and legal processes.
  • 20 paid vacation days, public holidays, and sick leave to support work-life balance.
  • Comprehensive health insurance and psychological support coverage.
  • Monthly flexible benefits budget for personal interests, sports, or hobbies.
  • Access to learning and development programs including courses, workshops, mentorship, and corporate language training.
  • Regular team events, workshops, and company gatherings (both virtual and in-person).
  • Modern, automation-first work environment with minimal bureaucracy and strong focus on efficiency and autonomy.

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.


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