(Multiple positions Open). Leverage data to drive growth & support Revenue & Marketing team by designing & executing A/B experiments optimize paid acquisition, lifecycle marketing & user engagement.
Reqs Master degree or foreign equiv in Comp Sci, Eng, Econ, Bus Analytics or closely related quantitative discipline & 2 yrs exp position offered or Data/Marketing Analyst or closely related position in data sciences. Alternatively, employer will accept Bach degree in fields above & 5 yrs progressive, post-bach exp in positions specified above. Must have demonstrated exp following: Leveraging statistical data analysis & predictive modeling assess performance paid marketing campaigns, generating insights that drive strategic decision-making for user acquisition, growth & revenue optimization; Applying hypothesis testing to design & execute experiments & A/B tests measure impact marketing initiatives on customer conversion, retention & overall performance; Utilizing SQL & data visualization tools extract, manipulate & analyze large-scale datasets multiple sources, ensuring accurate performance tracking & uncovering key trends, patterns, trends & anomalies marketing data; Implementing ML & advanced analytics techniques develop data-driven audience segmentation & targeting strategies, maximizing advertising efficiency & optimizing budget allocation; Designing & developing automated reporting dashboards using data visualization tools, delivering real-time insights campaign performance, user behavior & key marketing metrics to stakeholders; Conducting causal inference analysis & incrementality testing to evaluate effectiveness marketing strategy, enabling data-driven decision-making & performance optimization; & Collaborating w/ eng & marketing teams build & optimize data pipelines, enhance marketing attribution models & refine experimental frameworks, ensuring data integrity & measurable business impact. 40 hrs/wk.
To apply, visit: https://job-boards.greenhouse.io/openings.
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