Lead Data Analyst, Marketing

Role Overview

Lead Data Analyst, Marketing at Launch Potato. You will own and evolve the reporting and analytics infrastructure that powers decision-making across key marketing/vertical areas (Credit Cards, Make Money/Manage Money, Banking, and Marketplace). The role is focused on ensuring analytics are used, understood, and acted on, not just built.

Responsibilities

• Own reporting infrastructure and the trusted data sources behind it across verticals.
• Partner closely with business teams including Yield, Paid Media, and Account Management to surface meaningful trends.
• Conduct retrospective analyses across:
  • experiments
  • creatives
  • offers
  • seasonality
  • CAC performance
• Audit existing dashboards within the first 30 days to identify discrepancies, redundancies, and inconsistencies and create a roadmap for standardization.
• Improve dashboard standardization and provide accurate, well-contextualized answers for ad hoc requests.
• Develop and refine LookML models (or equivalent BI modeling tools) with awareness of downstream impacts.
• Enable data self-service by delivering a standardized reporting suite plus education and best practices.

Must-Have Requirements

• Expert SQL and comfort working with unstructured, complex data.
• Strong reporting ownership and data literacy: standardize, drive adoption, and raise team capability.
• Ability to connect performance data directly to business levers (e.g., campaign performance, conversion rates, revenue per session).
• Advanced LookML development (or equivalent in Power BI / Tableau) with understanding of downstream effects.
• Curiosity and business depth; motivated to become a trusted analytical partner.
• Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing.
• Experience owning reporting end-to-end (pipeline → dashboard) and working with messy, third-party data; partner with business teams to drive decisions.

Performance Expectations (Timeline)

• 30 days: Audit stakeholder reporting usage; identify issues; begin roadmap to standardize reporting.
• 60 days: Clearly explain how verticals make money and what key levers are; improve standardization while completing ad hoc requests.
• 90 days: Standardization underway; trusted data sources roadmap; LookML changes can be made with full downstream awareness; relationships established.
• 6 months: Trusted reporting suite enables confident self-service; deliver proactive retrospective analyses.

Compensation

• Base salary: $120,000–$150,000 per year (paid semi-monthly).