Jobgether
Middle Marketing Data Analyst
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Job Opportunity: Middle Marketing Data Analyst
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Middle Marketing Data Analyst based in the United Kingdom.
As a Middle Marketing Data Analyst, you’ll turn marketing and tracking data into actionable insights that improve customer acquisition, conversion, and retention.
You’ll analyze user behavior across the entire marketing funnel, from visits and clicks through registrations and deposits.
The role combines hands-on data analysis with dashboard development, experimentation, and continuous optimization of marketing performance.
You’ll work closely with data engineers, web analysts, and business teams to improve data quality, reporting, and marketing data pipelines.
Your insights will help teams identify performance issues, uncover optimization opportunities, and make better data-driven decisions.
This is a fully remote, collaborative environment where autonomy, initiative, and continuous learning are highly valued.
You’ll have the opportunity to grow your analytical expertise while working with modern data and visualization tools on international projects.
Accountabilities
- Analyze data from tracking systems and other sources to understand user behavior across the full marketing funnel, including visits, clicks, registrations, and deposits.
- Investigate marketing performance data on request, identify meaningful trends and anomalies, and translate findings into clear business recommendations.
- Develop and maintain dashboards and reports that provide actionable visibility into funnel performance and help teams quickly identify issues and optimization opportunities.
- Support business teams in planning, launching, and analyzing experiments designed to improve customer acquisition, engagement, and retention.
- Apply statistical concepts and analytical methods to evaluate experiment results and support data-driven decision-making.
- Collaborate closely with data engineers and web analysts to improve the collection, processing, and quality of marketing data from multiple sources.
- Contribute to the optimization and continuous improvement of marketing data pipelines and analytical workflows.
- Help ensure that reporting and analytical outputs are accurate, reliable, and easy for business stakeholders to understand.
- Maintain clear, structured, and up-to-date documentation for processes, datasets, dashboards, and analytical work within the area of responsibility.
- Identify opportunities to automate repetitive analytical tasks and improve the efficiency of marketing reporting and analysis.
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Requirements
- 2+ years of professional experience in data analytics or a related analytical field.
- Strong practical knowledge of SQL for extracting, processing, transforming, and analyzing data.
- Hands-on experience with Tableau and the ability to create clear, informative, and business-oriented data visualizations.
- Solid understanding of statistics and practical experience applying statistical methods to A/B testing and experimentation.
- Ability to analyze complex datasets, identify patterns and performance issues, and translate findings into actionable recommendations.
- Strong attention to detail and a structured approach to analytical work and documentation.
- Ability to collaborate effectively with data engineers, web analysts, marketing teams, and other business stakeholders.
- Strong communication skills, with the ability to explain analytical findings clearly to both technical and non-technical audiences.
- Self-motivated and proactive approach, with the ability to work independently while managing multiple analytical requests and priorities.
- Comfortable working in a fast-paced environment where priorities can evolve and analytical problems may require creative solutions.
- Experience in iGaming or another data-intensive digital industry is an advantage.
- Knowledge of Google Analytics, dbt, and basic Git is a plus.
- Experience working with tracking platforms, affiliate systems, or partner data sources is beneficial.
Benefits
- Fully remote working environment with the flexibility to work from a location where you feel comfortable and productive.
- Opportunity to work on international projects within a technology-driven and data-focused environment.
- 20 working days of paid annual leave, plus public holidays and paid sick leave.
- Health insurance with access to high-quality medical providers.
- Coverage for psychological support through the Pleso platform.
- Monthly benefits allowance that can be used toward personal interests, hobbies, sports, and other eligible activities.
- Team-building activities, corporate events, workshops, and other opportunities to connect with colleagues.
- Individual learning and development budget for courses and professional training.
- Corporate English language training.
- Access to workshops and an online learning library.
- Structured career development opportunities, including performance reviews and mentoring programs.
- Opportunities to take part in professional conferences and industry events.
- A collaborative culture that values openness, initiative, teamwork, and continuous improvement.
- An environment focused on automation and reducing unnecessary routine work so employees can dedicate more time to professional growth.
- Low-bureaucracy culture with autonomy and freedom to take ownership of your work.
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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.
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