Marketing Data Analyst / Scientist - Fintech

Client Server; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in London seeks a Marketing Data Analyst / Scientist to analyze marketing data and drive insights. The role involves collaborating with teams to optimize campaigns using data-driven strategies and conducting A/B testing. A hybrid working model offers flexibility, with two days a week working from home. Candidates should have strong data analysis and communication skills to thrive in this dynamic environment.

Benefits

Casual dress code

Access to a restaurant

Roof terrace

Breakout areas

Qualifications

• Expertise in analysing marketing data.
• Excellent communication and stakeholder management skills.
• Experience with marketing campaign performance analysis.

Responsibilities

• Analyse marketing campaign performance across digital channels.
• Support marketing team with segmentation and targeting strategies.
• Conduct thorough A/B testing to identify trends and opportunities.

Skills

Data analysis

Stakeholder management

Communication skills

A/B testing

Segmentation strategies

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 :

…