MarTech Optimization Analyst, Growth Marketing Operations
Culver City,California,United States
Marketing
Applied Experience with SQL-based languages and large scale analytics technologies such as Hadoop and Spark. Experience using Python and PySpark preferred.
Experience working on MarTech initiatives that drive customer acquisition, retention, and engagement. The ideal candidate will have a deep understanding of growth marketing tactics and associated KPI’s.
Previous experience in a marketing-focused analytics or data science role. Experience or knowledge of ML models preferred.
Experience working with A/B tests and growth marketing experiments, preferably for media products, mobile apps, and/or subscription media products.
Curious mentality with an ability to condense complex concepts into clear and concise action items.
Excellent communication, social and presentation skills with meticulous attention to detail.
Demonstrated ability to execute and deliver tasks on time.
Description
Perform analysis, research, and meaningful insight for MarTech campaigns and journeys. Write SQL, Python, and/or PySpark scripts that query large-scale datasets in HDFS. Lead meetings to present findings to internal partners and management. Partner with Product Managers, Engineering, and Data Science teams to help enable ML model integrations with customer journeys. Provide support for PRD creation, technical documentation, experimentation, data validation, and QA. Work on syndicated reports and summaries for management. Help build out and maintain Tableau dashboards that track MarTech goals and performance. Partner with Growth Team to provide suggestions for A/B testing and experimentation for concept briefs. Help with test setup and audience sizing for statistical significance. Have a deep understanding of MarTech datasets and data signals. Partner with data engineering and privacy teams to support new dataset requests. Regularly create and maintain documentation and code in GitHub. Create repeatable processes that help automate reporting and data validation. Participate and contribute to daily/weekly planning meetings. Help contribute and maintain the team’s Kanban project board. Love for Apple Music!
Education & Experience
B.S. or M.S. in relevant field such as: Data Engineering, Data Science, Computer Science, Mathematics, Statistics, and/or Economics.
Additional Requirements
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