March 12
🔄 Hybrid – Los Angeles
• Analyze data from search engine marketing campaigns, including keyword performance, ad spend, and conversions • Collaborate with cross-functional teams to identify data-driven opportunities and develop strategies to leverage data assets • Develop and maintain analytical dashboards and reports to track key performance indicators and provide insights to stakeholders • Analyze data trends and patterns to identify opportunities for improvement and make recommendations to leadership • Utilize statistical and machine learning techniques to extract insights from data and build predictive models • Train and mentor junior data analysts and team members on data analysis techniques and best practices • Stay up-to-date with industry trends and best practices in search engine marketing and data analysis
• Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics, Data Science) • 5+ years of experience in data analysis and visualization of large data sets • Strong experience with statistical and machine learning techniques • Advanced proficiency in SQL, and at least one programming language (e.g. Python, R) • Deep familiarity with all digital marketing metrics including CPA, CPC, CPM and ROAS • Excellent communication and leadership skills • Ability to work independently and as part of a team • Experience with big data technologies (e.g. Hadoop, Spark, BigQuery) • Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab) • Familiarity with pulling data from third party API’s and basic ETL processing
• Competitive salary + bonus + equity • Generous PTO + 11 company holidays • Open sick time • 100% covered Medical, Dental, Vision for employees • 401k with match • Health & Dependent Care Flex Spending Account • Paid professional development • Leadership & growth opportunities • Virtual company and team building events
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