Marketing Analyst

Marketing Analyst

London Full-Time 28800 - 43200 £ / year (est.)
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At a Glance

  • Tasks: Build and maintain marketing dashboards to visualize KPIs and measure marketing ROI.
  • Company: Join a dynamic team focused on data-driven digital marketing in e-commerce.
  • Benefits: Enjoy flexible work options, professional development opportunities, and a collaborative culture.
  • Why this job: Make an impact by transforming complex data into actionable insights for diverse stakeholders.
  • Qualifications: 3+ years in data-driven digital marketing with expertise in SQL and dashboard creation.
  • Other info: iGaming experience is a plus but not mandatory.

The predicted salary is between 28800 - 43200 £ per year.

As the Marketing Analyst, you will be responsible for building and maintaining marketing dashboards for visualising KPIs as well as modeling and measuring marketing ROI for ATL and digital channels., * Build and maintain marketing dashboards (SQL, Tableau, Power BI, Google Data Studio) for visualizing KPIs.

  • Present insights and campaign recommendations to diverse stakeholders, simplifying complex data into actionable formats.

  • Model and measure marketing ROI (Media Mix and Multi-Channel Attribution) for ATL and digital channels.

  • Aggregate data from sources (PPC, Social, TV, CRM) for single-use datasets to identify optimisation opportunities.

  • Define and track business/marketing metrics with senior stakeholders, including forecasting and segmentation.

  • Integrate data via APIs from platforms like Google Analytics, Facebook Ads, and CRMs.

  • Prepare, clean, and analyse data to uncover trends and optimise campaign performance.

  • Analyse customer journeys and propose process improvements/automation.

  • Manage global stakeholder relationships and provide training/support for BI tools.

  • Stay updated on BI/MA technology trends to enhance processes.

The successful candiate will have 3+ years experiencein data-driven digital marketing (eg. marketing/data/insight analyst) within e-commerce or high-volume digital businesses., * 3+ years in data-driven digital marketing (e.g., marketing/data/insight analyst) within e-commerce or high-volume digital businesses.

  • Proven experience managing complex, multi-channel data sets.

  • Expertise in marketing metrics, media mix modelling, and attribution models.

  • Proficiency in SQL and experience with APIs for marketing data integration.

  • Skilled in dashboard creation (Tableau, Power BI, Google Data Studio).

  • Analytical mindset with strong communication skills to explain data insights to non-technical stakeholders.

  • Independent, proactive, and capable of building global relationships.

  • iGaming experience is a plus but not mandatory.

Marketing Analyst employer: BettingJobs

As a Marketing Analyst at our company, you will thrive in a dynamic and innovative work culture that values data-driven decision-making and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and creativity. Located in a vibrant area, our team enjoys a healthy work-life balance while working on exciting projects that make a real impact in the e-commerce landscape.
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Contact Detail:

BettingJobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Marketing Analyst

✨Tip Number 1

Familiarize yourself with the specific tools mentioned in the job description, like SQL, Tableau, and Power BI. Having hands-on experience or even creating sample dashboards can really set you apart during the interview.

✨Tip Number 2

Brush up on your knowledge of marketing metrics and media mix modeling. Being able to discuss these concepts confidently will show that you understand the core responsibilities of the role.

✨Tip Number 3

Prepare to share examples of how you've previously aggregated data from multiple sources and identified optimization opportunities. Real-world examples can demonstrate your analytical skills effectively.

✨Tip Number 4

Stay updated on the latest trends in BI and marketing analytics technology. Showing that you're proactive about learning can impress the hiring team and align with their expectations for the role.

We think you need these skills to ace Marketing Analyst

SQL
Tableau
Power BI
Google Data Studio
Data Visualization
Marketing ROI Modeling
Media Mix Modeling
Multi-Channel Attribution
Data Aggregation
Business Metrics Definition
Forecasting
Segmentation
API Integration
Data Cleaning
Trend Analysis
Customer Journey Analysis
Process Improvement
Stakeholder Management
Training and Support for BI Tools
Analytical Mindset
Strong Communication Skills
Proactive Approach
Relationship Building
iGaming Knowledge (a plus)

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Marketing Analyst position. Understand the key responsibilities and required skills, especially focusing on data-driven digital marketing and dashboard creation.

Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience in data-driven digital marketing. Provide specific examples of how you've managed complex data sets and utilized tools like SQL, Tableau, or Power BI.

Showcase Your Analytical Skills: Demonstrate your analytical mindset by including examples of how you've used data to drive marketing decisions. Mention any experience with media mix modeling, attribution models, or optimizing campaign performance.

Communicate Effectively: Since the role requires explaining complex data insights to non-technical stakeholders, ensure your application reflects strong communication skills. Use clear and concise language in your cover letter to convey your insights and recommendations.

How to prepare for a job interview at BettingJobs

✨Showcase Your Dashboard Skills

Be prepared to discuss your experience with tools like SQL, Tableau, and Power BI. Bring examples of dashboards you've created and be ready to explain how they helped visualize KPIs and drive decisions.

✨Simplify Complex Data

Practice explaining complex data insights in simple terms. The ability to present findings to non-technical stakeholders is crucial, so think of ways to make your insights actionable and relatable.

✨Demonstrate Your Analytical Mindset

Prepare to discuss specific instances where you analyzed customer journeys or campaign performance. Highlight any process improvements or automation you proposed based on your analysis.

✨Build Relationships

Since managing global stakeholder relationships is key, think of examples where you successfully collaborated with diverse teams. Show that you're proactive and capable of building strong professional connections.

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