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.
Dive into customer behavior, analyze marketing performance, and provide actionable insights that drive our direct-response and B2C marketing initiatives.
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.
Requirements
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.