Responsibilities

• Supports the Director of Customer Analytics with roadmap execution and high-priority initiatives across customer journey, marketing performance, and growth operations.
• Conducts in-depth analysis to uncover trends in funnel performance, lead quality, campaign outcomes, and customer behavior.
• Builds, manages, and enhances Power BI dashboards and reporting tools for cross-functional stakeholders.
• Develops performance tracking frameworks across acquisition channels and lifecycle metrics including attribution, CAC, and Lifetime Value (LTV).
• Identifies data gaps or inconsistencies and recommends improvements to tagging, reporting, or data structure.
• Collaborates with marketing, product, engineering, and finance teams to ensure data alignment and reliability.
• Supports A/B testing and creative test design by analyzing lift, statistical significance, and performance benchmarks.
• Contributes to the development and refinement of media mix models to quantify the incremental impact of offline and online channels.
• Supports predictive modeling and scenario analysis to inform budget allocation and performance forecasting.
• Works with APIs from vendors and internal data warehouses to automate data pipelines and integrate with Power BI for scalable reporting.

Requirements

• Minimum 4 years of experience in customer or marketing analytics, ideally in a performance-driven or customer-focused environment.
• Advanced SQL skills and ability to manage complex queries and data transformations.
• Strong experience using Power BI for building dashboards, creating calculated fields, and structuring data models.
• Experience working with APIs and cloud data warehouses to build automated reporting workflows.
• Working knowledge of Power BI, Google Tag Manager (GTM), Google Analytics 4 (GA4), and Microsoft Excel for analytical modeling.
• Experience interpreting funnel metrics, user segmentation, and campaign performance.
• Experience with media mix modeling (MMM), regression analysis, or other modeling techniques used to evaluate marketing performance.
• Understanding of incrementality, attribution, and causal inference frameworks.
• Proven ability to recommend, structure, and monitor tests across channels to improve performance.
• Proactive in identifying opportunities to improve reporting, channel optimization, and strategic decision-making.
• Bachelor's Degree in Marketing, business or related field.

Benefits

• Health, dental, vision, life insurance
• paid time-off benefits
• flexible spending account
• 401(k) with employer match
• ESPP