Marketing Data Analyst / Scientist - Fintech

Client Server
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 80K

Job location

Remote

Tech stack

A/B testing
Airflow
Data analysis
Fluid
Software Debugging
Google Analytics
SQL Databases
Data Pipelines

Job description

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.

Requirements

Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills?, * You have strong marketing analytics or data analysis experience for complex campaigns with A/B testing and multiple versions to understand success metrics

  • You have SQL skills and the technical ability to debug and make configuration amendments within DBT data pipelines, Airflow experience is desirable
  • You have a good knowledge of Google Analytics, GA4
  • You have a good understanding of marketing metrics, KPIs and attribution models
  • You can translate data into actionable marketing insights
  • You have advanced communication, collaboration and stakeholder management skills
  • You have a strong understanding of mathematics, statistics and data science principles / tools

About the company

Managed by: Data Team

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