Lead Analytics Manager

launchpotato

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Remote-first team across countries
Profit-sharing bonus
Competitive benefits

Job summary

launchpotato is seeking a Lead Analytics Manager to own reporting infrastructure across consumer finance verticals. You will partner with Yield, Paid Media, and Account Management to surface trends, run retrospective analyses, and tie performance metrics directly to business outcomes.

You will grow from a technical reporting owner to a trusted analytical partner, influencing decisions with actionable insights rather than just dashboards.

Qualifications

  • 7+ years in BI/analytics with performance or affiliate marketing exposure
  • Expert-level SQL across messy 3rd-party data
  • End-to-end ownership of reporting from data pipeline to dashboard
  • Semantic-layer development with LookML or equivalent in BI tools
  • Strong stakeholder collaboration and data storytelling

Responsibilities

  • Audit reporting consumption across verticals and map a standardization roadmap
  • Architect and maintain complex semantic-layer models in BI tools
  • Translate raw data into accurate insights beyond upstream models
  • Deliver retrospective analyses across experiments, creatives, seasonality, and CAC
  • Raise data literacy with education, docs, and self-service dashboards
  • Connect analysis to marketing levers like conversion rate, revenue per session, and CAC

Skills

SQL
Data storytelling
Stakeholder collaboration
Analytics leadership
DAX
Data modeling

Tools

LookML
Power BI
Tableau

Job description

Role overview

This is a Lead Analytics Manager opportunity focused on owning the reporting infrastructure that drives decision-making across multiple consumer finance verticals, including credit cards, banking, personal finance management, and marketplace offerings. The role is embedded with Yield, Paid Media, and Account Management teams from day one, partnering closely to surface trends, run retrospective analyses across experiments and seasonal cycles, and connect performance levers (campaign metrics, conversion rates, revenue per session, CAC) directly to business outcomes. The trajectory is clear: grow from technical reporting owner into a trusted analytical partner who recommends action rather than simply delivering dashboards.

Responsibilities
  • Audit existing reporting consumption across assigned verticals to identify discrepancies, redundancies, and inconsistencies, then build a standardization roadmap.
  • Architect and maintain complex semantic-layer models (LookML or equivalent in Power BI/Tableau), keeping full awareness of downstream impact.
  • Translate raw, unstructured data into accurate insights without relying solely on clean upstream models.
  • Deliver proactive retrospective analyses covering experiments, creatives, offers, seasonality, and CAC performance.
  • Raise data literacy across stakeholders through education, documentation, and standardized self-service dashboards.
  • Connect analysis directly to performance-marketing levers such as conversion rates, revenue per session, and campaign effectiveness.
Requirements
  • Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing.
  • Expert-level SQL and comfort working with messy, complex, third-party data.
  • Hands-on experience owning reporting end-to-end, from data pipeline through final dashboard.
  • Advanced semantic-layer development (LookML, or equivalent DAX/data-model work in Power BI or Tableau).
  • Demonstrated ability to partner with business teams, conduct meaningful retrospective analyses, and influence decisions that move measurable outcomes.
  • Strong communication skills: ability to ask the right questions upfront and present findings with appropriate context for each audience.
Nice to have
  • Track record of moving from technical executor toward analytical-partner role over time.
  • Experience standardizing reporting suites that enable confident self-service analytics.
Benefits and work setup
  • Remote-first team distributed across many countries, with a South Florida headquarters for collaboration.
  • Base salary calibrated to the nearest major metro market, plus profit-sharing bonus and competitive benefits.
  • Performance-driven compensation model where future increases reflect company and personal performance rather than cost-of-living adjustments.
  • Culture that measures work by impact over activity, values direct feedback delivered with respect, and expects people to turn constant change into opportunity.
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