Marketing Data Analyst / Scientist - Fintech

Client Server Careers; Greater London; Hybrid; GBP 75,000 - 90,000; Full time

Job summary

A global FinTech company in London is seeking a Marketing Data Analyst / Scientist to analyze marketing campaign performance and enhance effectiveness through data insights. This role offers a hybrid work model along with an upbeat team environment. Ideal candidates should have strong skills in data analysis and communication and be proficient in GA4, SQL, and DBT.

Benefits

Roof terrace

On-site restaurant

Breakout areas

Qualifications

• Experience with analyzing marketing data is essential.
• Strong communication and stakeholder management skills required.
• Ability to conduct A/B testing and data-driven recommendations.

Responsibilities

• Analyze marketing campaign performance across digital channels.
• Support marketing strategies using data analysis.
• Experiment with datasets and modify data pipelines.

Skills

Data analysis

Stakeholder management

Communication skills

Statistical analysis

Tools

GA4

SQL

DBT

Job description

Marketing Data Analyst / Scientist (GA4 DBT SQL) London / WFH to £90k

Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills?

You could be progressing your career in an impactful Marketing Data Analyst at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers.

As a Marketing Data Analyst / Scientist you will analyse marketing campaign performance across digital channels to drive insights, optimise campaigns and improve marketing effectiveness, collaborating with Product Managers and cross functional teams to provide insights that make a significant commercial impact.

You’ll support the marketing team with segmentation and targeting strategies using data analysis, conduct thorough A / B testing to identify trends and opportunities and make statistical, data-driven recommendations to improve marketing effectiveness. You’ll be working with immature datasets with lots of changes and variables, experimenting and trying new things including modifying data pipelines.

Location / WFH :

There’s a hybrid model with two days a week work from home, when you are in the office you’ll be based in the City with an upbeat team environment, casual dress code and a range of facilities including roof terrace, restaurant and breakout areas.

About you :

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