Mid Marketing Data Analyst
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 . 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 Originally posted on Himalayas