Lead Data Analyst, Marketing
New
L
Launch PotatoPerformance marketing
Location: Asheville, NC (remote); Atlanta, GA (remote); Boynton Beach, FL (remote); Charleston, SC (remote); Charlotte, NC (remote); Delray Beach, FL (hybrid); Fort Lauderdale, FL (hybrid); Miami, FL (hybrid); Raleigh, NC (remote)Full-TimeLead
SalaryBASE SALARY: $120,000 to $150,000 per year, paid semi-monthly
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Job Details
- Experience
- Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing.
- Required Skills
- SQLBusiness IntelligenceData AnalysisMicrosoft Power BITableauReporting
Requirements
- Have a minimum of 7 years in business intelligence or analytics.
- Have direct exposure to performance or affiliate marketing.
- Use expert SQL to extract accurate insights from raw, unstructured data without relying on clean models.
- Build, standardize, and drive adoption of reporting, helping teams become more data-literate.
- Connect data to performance marketing levers such as campaign performance, conversion rates, and revenue per session.
- Develop advanced LookML models, or equivalent models in Power BI or Tableau, with awareness of downstream impacts.
- Own reporting end-to-end, from pipeline through dashboard.
- Work with complex, messy, third-party data.
- Partner with business teams to uncover trends, conduct retrospective analyses, and connect data work to decisions.
Responsibilities
- Own reporting infrastructure across the Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals.
- Audit existing reporting with stakeholders to identify discrepancies, redundancies, and inconsistencies.
- Develop and execute a roadmap to standardize reporting across assigned verticals.
- Partner with Yield, Paid Media, and Account Management to uncover trends and understand business performance.
- Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance.
- Improve dashboard standardization and respond to ad hoc requests with accuracy and business context.
- Develop trusted data sources and a standardized reporting suite that supports self-service analytics.
- Own work end-to-end from raw data ingestion through final dashboards and recommend actions based on findings.
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