Marketing Data Analyst — AI-Powered Growth (Hybrid)

Cafeyn Group; Greater London; Hybrid; GBP 42,000 - 65,000; Full time

Benefits offered by this job

Pension plan

Paid holiday

Mental health support

Hybrid policy

Cafeyn access

Team life

Job summary

Cafeyn Group is seeking a Marketing Data Analyst to join our team at the crossroads of Data, Marketing and Product. You will own B2C marketing KPIs, build dashboards, and analyze conversion and retention while ensuring data accuracy and compliance across platforms.

You’ll collaborate with Marketing, Product and Data stakeholders to translate complex data into actionable insights, develop self-serve reporting, and contribute to AI-powered data products that accelerate growth and autonomous

Qualifications

• Strong proficiency in SQL and Python, with the ability to independently query, analyse and manipulate data.
• Experience working with B2C marketing data, ideally within a subscription-based business, with a strong understanding of metrics such as acquisition, conversion, trials and churn.
• Proven experience in marketing analytics and reporting, including the ability to translate business questions into relevant analyses and actionable insights.
• Experience with marketing tracking and measurement, including familiarity with GDPR, SKAN, DMA and the broader digital tracking ecosystem.
• Strong analytical storytelling skills, with the ability to identify meaningful insights and clearly communicate recommendations to both technical and non-technical stakeholders.
• Experience working cross-functionally with Marketing, Product and Data teams.

Responsibilities

• Own B2C marketing KPIs from a data perspective, ensuring that key performance indicators and supporting data points are accurate, reliable and available within a reasonable timeframe for weekly and monthly business reviews.
• Support Marketing teams with reporting, helping them define relevant dashboards, reporting frameworks and performance indicators to answer their business questions.
• Analyse the acquisition funnel, from awareness through to conversion, to identify growth levers and provide actionable recommendations to Marketing teams.
• Run advanced marketing analyses to support strategic decision-making, including initiatives such as Geo-Lift studies, attribution analyses and other measurement approaches. Translate findings into concrete recommendations around budgets, channels and acquisition strategy.
• Implement algorithms and analytical solutions to support Marketing Operations, particularly around attribution and marketing measurement.
• Improve Marketing team autonomy through self-serve data products, enabling stakeholders to answer their day-to-day data questions without relying systematically on an analyst.
• Develop and deploy AI-powered data products and insights, using AI to make marketing stakeholders more autonomous and accelerate access to actionable insights.
• Own and maintain marketing tracking, ensuring that implementation remains compliant with regulations and aligned with changes across advertising platforms and the wider tracking ecosystem.
• Act as a bridge between Marketing and Product to ensure tracking remains up to date, follows best practices and provides the data and signals required for effective acquisition.
• Activate relevant data points within marketing platforms to improve acquisition performance and maximise the value of available customer and behavioural data.

Skills

SQL

Python

B2C marketing data

Marketing analytics

Tracking

Data storytelling

Cross-functional collaboration

A/B testing

Tools

Snowflake

Airflow

Segment

GTM

Amplitude

Job description

Cafeyn Group is seeking a Marketing Data Analyst to join our team at the crossroads of Data, Marketing and Product. You will own B2C marketing KPIs, build dashboards, and analyze conversion and retention while ensuring data accuracy and compliance across platforms.

You’ll collaborate with Marketing, Product and Data stakeholders to translate complex data into actionable insights, develop self-serve reporting, and contribute to AI-powered data products that accelerate growth and autonomous