AI-Powered Marketing Data Analyst

Cafeyn; Stockholms kommun; On-site; SEK 700,000 - 930,000; Full time

Benefits offered by this job

Private health insurance – Euro health

Pension plan – employer contribution

Life insurance

Disability insurance

Easy access – Globalization Partners

Job summary

Cafeyn is seeking a Marketing Data Analyst to join the team at the intersection of Data, Marketing and Product. You will own and analyse key B2C marketing data, enabling growth opportunities and data-driven decisions across Marketing, Product and Data stakeholders.

Build self-serve reporting, AI-powered data products, and ensure tracking is compliant and up to date to accelerate actionable insights.

Qualifications

• Strong proficiency in SQL and Python, able to query, analyse and manipulate data independently.
• Experience with B2C marketing data in a subscription-based business, understanding acquisition, conversion, trials and churn.
• Proven experience in marketing analytics and reporting with translating questions into analyses.
• Experience with marketing tracking and measurement, including GDPR, SKAN, DMA, and digital tracking ecosystems.
• Strong analytical storytelling; able to communicate insights to technical and non-technical stakeholders.
• Experience working cross-functionally with Marketing, Product and Data teams.

Responsibilities

• Own B2C marketing KPIs from a data perspective for weekly and monthly reviews.
• Support Marketing with dashboards, reporting frameworks and performance indicators.
• Analyse the acquisition funnel from awareness to conversion to identify growth levers.

Skills

SQL

Python

B2C marketing analytics

GDPR, SKAN, DMA

Cross-functional collaboration

Analytical storytelling

Tools

Snowflake

Airflow

Segment

GTM

Amplitu de

Job description

Cafeyn is seeking a Marketing Data Analyst to join the team at the intersection of Data, Marketing and Product. You will own and analyse key B2C marketing data, enabling growth opportunities and data-driven decisions across Marketing, Product and Data stakeholders.

Build self-serve reporting, AI-powered data products, and ensure tracking is compliant and up to date to accelerate actionable insights.