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-timeThe role requires availability during EU hours (GMT)At Happy Mammoth, you can expect:
A strong salary packageA welcoming and nurturing work environment, with colleagues from around the worldA fast-paced, dynamic, and non-corporate atmosphere where adaptability is keyThe chance to be part of our exciting global expansion journeyFlexible working hoursFree access to courses, books and MastermindsOpportunities for professional growth and developmentJob 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 strategiesBuild, maintain, and automate dashboards and reports to track KPIs, including ROAS, CPA, conversion rates, CLTV, and customer retention metricsWork closely with cross-functional teams, such as marketing, product, and finance, to provide data-driven insights that support campaign performance and strategic marketing decisionsProvide ad hoc analysis to address specific business questionsEnsure data quality and accuracy by regularly validating and cleansing datasetsCommunicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and storytellingQualifications:
Proven experience in data analysis, preferably with a focus on e-commerceProficiency in SQL and ExcelProven 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 detailEffective communicator with the ability to convey complex data insights clearlyWhat will set you apart:
You have a genuine hunger for success in all parts of your lifeYou thrive taking action, taking responsibility and getting things done before deadlinesYou’re able to self-manage based upon the overall scope and work requiredYou’re able to diagnose and solve technical problems quicklyYou're able to work as part of a team and actively contribute to conversationsA willingness to learn and grow with the businessCVs should be in EnglishPowered by JazzHRjY7nxtlxJx
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