Marketing Data Analyst

Happy Mammoth • Full-time • Remote (Berlin, DE) • 1w ago

About Happy Mammoth:

Happy Mammoth is a high-growth e-commerce company dedicated to empowering women’s health through natural, science-backed supplements focused on gut, digestive, and hormonal wellness. As a performance-driven company, we are passionate about making a meaningful, lasting impact on our customers' lives. You can learn more about us at https://happymammoth.com/.

Before you dive deeper, please note the following key points:

This is a fully remote contractor role, available full-time
The role requires availability during EU hours (GMT)

At Happy Mammoth, you can expect:

A strong salary package
A welcoming and nurturing work environment, with colleagues from around the world
A fast-paced, dynamic, and non-corporate atmosphere where adaptability is key
The chance to be part of our exciting global expansion journey
Flexible working hours
Free access to courses, books and Masterminds
Opportunities for professional growth and development

Job Summary:

As a Data Analyst at Happy Mammoth, you’ll be at the heart of our data-driven efforts. Your insights will directly influence our strategies to optimize customer acquisition, retention, and lifetime value. In this role, you’ll dive into customer behavior, analyze marketing performance, and provide actionable insights that drive our direct-response and B2C marketing initiatives.

Responsibilities:

Collect, analyze, and interpret data to uncover trends, patterns, and insights that inform our business strategies
Build, maintain, and automate dashboards and reports to track KPIs, including ROAS, CPA, conversion rates, CLTV, and customer retention metrics
Work closely with cross-functional teams, such as marketing, product, and finance, to provide data-driven insights that support campaign performance and strategic marketing decisions
Provide ad hoc analysis to address specific business questions
Ensure data quality and accuracy by regularly validating and cleansing datasets
Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and storytelling

Qualifications:

Proven experience in data analysis, preferably with a focus on e-commerce
Proficiency in SQL and Excel
Proven experience in data visualization tools (e.g. Looker Data Studio, Looker, Power BI or similar)
Hands-on experience with cloud-based data warehouses and architectures (familiarity with Google BigQuery is a strong asset)
Strong analytical skills and attention to detail
Effective communicator with the ability to convey complex data insights clearly

What will set you apart:

You have a genuine hunger for success in all parts of your life
You thrive taking action, taking responsibility and getting things done before deadlines
You’re able to self-manage based upon the overall scope and work required
You’re able to diagnose and solve technical problems quickly
You're able to work as part of a team and actively contribute to conversations
A willingness to learn and grow with the business

CVs should be in English

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