Lead BI Developer

Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners.

MUST HAVE:

• Expert SQL & Comfortable with Unstructured Complex Data : Extracts accurate insights from raw, unstructured data without relying on clean models
• Reporting Ownership & Data Literacy : Builds, standardizes, drives adoption, and leaves teams more data-literate
• Performance Marketing Optimization : Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session
• Advanced LookML Development (or equivalent in Power BI / Tableau) : Architects complex models with full understanding of downstream impacts
• Curiosity & Business Depth : Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder

EXPERIENCE: Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business.

YOUR ROLE

You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on.

Outcomes (Performance Expectations)

• 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, i.e. identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals.
• 60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context.
• 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established.
• 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team.
• Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings.

Competencies

• Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions.
• Reporting Ownership: Engages stakeholders to understand how reporting is used before building, i.e. creates dashboards that are adopted, not just delivered.
• Business Acumen: Invests in understanding the business by asking the right questions before pulling the data.
• Communication: Asks enough upfront to make sure the answer lands with the right context for the right audience.
• Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view.
• Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for.
• Curiosity & Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time.