We’re Looking For A: Sr. Data Analyst (Retention Marketing). As a Senior Data Analyst reporting to the IT department and key marketing stakeholders, you will lead efforts in managing and analyzing marketing-related data, including a strong ability to leverage emerging technologies, AI, and machine learning for centralized data intelligence. You will be instrumental in translating complex datasets into actionable insights to optimize marketing strategies, focusing on key metrics such as AOV, LTV, Churn Rates, CAC, CTR, and other engagement metrics.

Location: Woodland Hills, CA (Remote)

What You’ll Be Doing:

Analysis:

• Collaborate with cross-functional teams to gather business requirements and develop tailored data solutions.
• Using experienced knowledge of marketing retention KPIs, synthesize data across multiple sources to develop insights and to tell a story with data.
• Develop actionable optimization recommendations.
• Use advanced segmentation methodologies to group customers by cohort, lifetime value, products purchased, etc. Build/implement models to predict lifetime value and score customers on dimensions such as likelihood to buy. 

Communication:

• Surface observations relating to customer trends and campaign/test performance.
• Assist in developing ways of answering unique questions and hypotheses to identify marketing opportunities. 

Technical:

• Establish and refine data models within the database to ensure efficient data storage and retrieval.
• Using familiarity with tools such as BigQuery, Fivetran, and other data orchestration platforms, maintain the accuracy of data through data quality controls and discrepancy auditing.
• Create and optimize SQL queries, views, and stored procedures. 
• Leverage Python for advanced data transformations, automations, and integrations.
• Contribute to solutions for real-time data retrieval from various sources, including API integrations and new platform solutions selection.

Preferred Qualifications (Note: These are preferred and not required. We strongly encourage you to apply even if you don’t tick ALL of these boxes.):

• Driver and change agent 
• Analytical thinker 
• Organizational adept 
• Detail-oriented
• Critical thinker
• 5 years of experience as a Data Analyst or similar role, demonstrating expertise in AI-driven analytics and marketing insights. 
• Experience with CRM systems, web analytics tools, and marketing automation platforms, showcasing AI-based optimizations for marketing metrics. 
• Proficiency in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI, etc.) with a focus on integrating AI capabilities. 
• Strong understanding of marketing concepts, particularly AOV, LTV, conversion rates, and customer acquisition costs, coupled with expertise in leveraging AI for marketing intelligence. 
• Experience with Git and code management practices.
• Experience leading or managing teams preferred.
• Bachelor's Degree in computer science or related fields.
• Master's Degree in computer science, statistics, mathematics, marketing, or another research or related fields preferred.

Golden Perks & Benefits: 

• Health and Happiness: Enjoy 100% employer-paid medical, dental, and vision insurance. Get 75% premium coverage for dependents.
• Become an Owner: Join our Employee Stock Ownership Plan and be a part owner of Golden Hippo.
• Boost Your Savings: Maximize your retirement with a generous 401K Plan and company matching up to 3.5%.
• Stand Out, Get Rewarded: Excel and be recognized through our KPI Bonus, Win of the Week, Spot Bonus, and Shoutouts Program.
• Flexibility at Your Fingertips: Work on your terms with flexible arrangements for most positions.
• Skyrocket Your Career: Unleash your potential with unlimited room for professional growth.
• Thrilling Events Await: Exciting virtual and in-person events that redefine fun.

The anticipated salary range for this position is $87,600-$116,800, plus annual & monthly KPI bonus potential.
Salary is based on a wide range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geographical location.

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