Partner with Marketing, Operations, and Executive teams to finalize and maintain the definitions of core KPIs: Ridership, Reputation (e.g., NPS, Sentiment), and Brand Awareness (e.g., Share of Voice, Branded Search Volume).
Oversee the data flow and integrity across the core analytics stack: Salesforce Data Cloud, AppsFlyer, GA4, Sprinklr, and Salesforce Marketing Cloud.
Lead, where applicable, to successfully integrate proprietary data into the tools and applications to ensure accurate linking of marketing IDs (from AppsFlyer/GA4) to custom
Define, implement, and maintain the Position-Based Attribution Model to accurately allocate credit for Ridership conversions across all paid and organic channels.
Lead the design and implementation of scalable marketing processes and operating rhythms that translate strategy into consistent, measurable execution across the team.
Lead the calculation and reporting of Marketing Return on Investment (MROI), Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), and CLV:CPAR (Cost Per Acquired Rider) ratio by channel.
Conduct proactive analyses to identify growth opportunities, diagnose drops in ridership, and determine the causal relationship between improvements in Reputation (e.g., rising NPS) and increases in Ridership Retention.
Support the team by analyzing and proposing controlled experiments across digital channels (ad creative, landing pages, in-app promotions) to generate statistically significant findings.
Design and build automated, integrated dashboards in the BI tool that leverage internal and external datasets.
Create or contribute to reports and presentations summarizing marketing performance against the core KPIs for executive leadership, clearly translating complex data into strategic recommendations.
Create dashboards, reports, and presentations that show the performance of marketing activities.
Establish and enforce standards for data quality, UTM usage, and naming conventions across all marketing campaigns to ensure reporting accuracy.
Provide insights and strategic recommendations from competitive, category, and product analyses provided from cross-functional teams to inform marketing plans.
Drive end-to-end customer and market insights initiatives, integrating quantitative analytics with qualitative research to uncover emerging behaviors, unmet needs, and new opportunities for differentiation.
Manage Voice of Consumer (VoC) programs, including social sentiment, customer feedback, and review analysis into actionable insights informing brand messaging, product, and service decisions.

Requirements

8+ years of experience in Marketing Analytics, Data Science, or a related quantitative field, preferably within a D2C, mobility, or subscription business.
Technical Stack Expertise: Demonstrated experience with a modern data stack, including proficiency in:
SQL for querying and manipulating large datasets.
A Cloud Data Warehouse (e.g., Databricks, BigQuery, Snowflake, or a similar CDP/DataCloud).
A Business Intelligence tool (e.g., Tableau, Power BI, Looker Studio).
Domain Knowledge: Solid understanding of digital marketing metrics (Impression, Reach, CTR, Conversion Rate) and mobile app attribution (AppsFlyer/Branch).
Quantitative Skills: Proven ability to build models for CAC, CLV, perform segmentation, and conduct rigorous statistical analysis.
Comfortable navigating ambiguity and iterating quickly in a fast-paced, high-growth environment.
Demonstrated ability to lead research end-to-end—from planning and execution through analysis and implementation—and translate findings into clear, strategic recommendations.
Demonstrated project management proficiency, with the ability to effectively coordinate and deliver multiple reports and dashboards.

Benefits

Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLdata analysisstatistical analysismodel buildingdigital marketing metricsmobile app attributiondata integrationreportingdashboard creationmarketing performance analysis

Soft skills

leadershipstrategic thinkingproject managementcommunicationproblem-solvingadaptabilitycollaborationanalytical thinkingcreativityattention to detail