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Data & Analytics

Middle+ Marketing Data Analyst

  • UK
  • Semi-senior
  • Remote
  • Full time
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Location

UK

Setup

Remote

Posted

today

Lo que harás

Accountabilities

  • Manage end-to-end analytics delivery for assigned client accounts, ensuring reporting solutions align with business objectives and marketing goals.

  • Design, build, maintain, and optimize dashboards and reports across business intelligence platforms such as Looker, Power BI, and Tableau.

  • Develop, troubleshoot, and enhance SQL queries to support analysis, reporting, investigations, and data validation activities.

  • Create and maintain data transformation workflows, leveraging data modeling best practices and tools such as dbt.

  • Conduct quality assurance and user acceptance testing to ensure data accuracy, consistency, reliability, and trustworthiness.

  • Collaborate directly with stakeholders to gather requirements, translate business needs into analytical solutions, and communicate insights effectively.

  • Identify trends, risks, and opportunities within marketing data and proactively provide recommendations to improve performance.

  • Utilize AI-powered tools to accelerate analysis, reporting, documentation, and overall productivity.

Requirements

  • 3+ years of experience working as a Data Analyst with a strong focus on marketing analytics and marketing data ecosystems.

  • Advanced expertise in at least one major BI platform, such as Looker, Power BI, or Tableau, with the ability to work across multiple reporting environments.

  • Strong SQL skills with experience building, optimizing, and troubleshooting complex queries.

  • Experience with data modeling methodologies and transformation tools, preferably dbt.

  • Advanced understanding of Google Analytics and marketing performance measurement principles.

  • Hands-on experience using Git for version control and collaborative development workflows.

  • Strong analytical thinking, problem-solving abilities, and exceptional attention to detail.

  • Proven ability to work directly with clients, communicate technical concepts clearly, and deliver business-focused insights.

  • Experience performing QA/UAT testing and validating large-scale data sets.

  • Professional-level English communication skills, both written and verbal.

  • Familiarity with AI tools and a demonstrated ability to integrate them into daily analytical workflows.

  • Experience with digital marketing platforms, marketing data sources, or agency environments is considered an advantage.

Benefits

  • Fully remote work environment with flexibility and autonomy.

  • Competitive compensation package.

  • Stock option opportunities.

  • Comprehensive medical and dental coverage.

  • Retirement savings support through a 401(k) plan.

  • Unlimited paid time off policy.

  • 13 paid holidays annually.

  • Professional development and learning reimbursement programs.

  • Opportunity to work with innovative AI-powered analytics technologies.

  • Exposure to global clients and large-scale marketing data projects.

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.     #LI-CL1

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Context

About Data & Analytics roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

SQLPython/RDashboard building (Looker, Tableau)Statistical analysisMarketing attribution
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