[All remote jobs](https://jobicy.com/jobs.md)[![Launch Potato logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/30f8890f-221-1.png)](https://jobicy.com/company/launch-potato.md)[Launch Potato](https://jobicy.com/company/launch-potato.md) # Business Intelligence Lead, Performance Marketing Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/launch-potato.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 120k–150k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished12 Oct 2026Apply before11 Nov 2026Listing views26Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Launch Potato is seeking a senior Business Intelligence Lead to own reporting infrastructure and become an embedded analytical partner for performance-marketing verticals. The role covers the full reporting lifecycle, from raw-data ingestion and complex SQL analysis through LookML modeling, standardized dashboards, and self-service reporting. This person will partner with Yield, Paid Media, and Account Management teams to analyze experiments, creatives, offers, seasonality, CAC, and funnel performance. Success is measured by reporting adoption, trusted data sources, proactive recommendations, and business decisions influenced by analysis. The position requires at least seven years of BI or analytics experience, including direct exposure to performance or affiliate marketing. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a high-seniority, end-to-end BI ownership role in a fast-changing performance-marketing environment with messy third-party data. It requires both deep technical judgment and the ability to influence stakeholders with commercially actionable insights. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$135,000US market range$120k–$165k0$182k AI insightThe disclosed base-salary range is $120,000 to $150,000 USD yearly, with a midpoint of $135,000. For a US-based BI lead with 7+ years of experience, advanced SQL/LookML skills, and performance-marketing analytics ownership, an estimated US market base-salary range is approximately $120,000 to $165,000 annually; bonus and profit sharing may increase total compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[Performance Marketing Analytics](https://jobicy.com/jobs?search_keywords=Performance%20Marketing%20Analytics.md)[LookML](https://jobicy.com/jobs?search_keywords=LookML.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Dashboard Standardization](https://jobicy.com/jobs?search_keywords=Dashboard%20Standardization.md)[Marketing Attribution](https://jobicy.com/jobs?search_keywords=Marketing%20Attribution.md)[CAC Analysis](https://jobicy.com/jobs?search_keywords=CAC%20Analysis.md)[Data Visualization](https://jobicy.com/jobs?search_keywords=Data%20Visualization.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md) Sample interview questionsHow would you approach standardizing several existing dashboards that contain conflicting performance metrics?I would first inventory the dashboards, their audiences, source tables, metric definitions, and actual usage. I would reconcile discrepancies back to source data, establish documented metric logic and ownership, then prioritize consolidation based on business impact. Finally, I would migrate stakeholders to a governed reporting suite and monitor adoption. Describe how you would analyze a sudden increase in CAC for a paid-media vertical. I would segment the change by channel, campaign, audience, creative, offer, device, geography, and time period while validating tracking and attribution integrity. I would compare spend, conversion rates, click-through rates, downstream approval or revenue rates, and any changes in offer availability or landing-page behavior. The output would distinguish measurement issues from operational drivers and recommend specific tests or budget actions. What are the most important considerations when making a complex LookML change? I would assess lineage, joins, explores, derived tables, access controls, persistent derived table dependencies, and every downstream dashboard or scheduled delivery affected. I would test the change in development, validate key metrics against trusted benchmarks, obtain stakeholder review where definitions change, and deploy with clear documentation and a rollback plan. How do you ensure that a dashboard is adopted rather than merely delivered? I start by understanding the decisions users need to make, their current workflow, and the actions each metric should trigger. I keep the dashboard focused on those decisions, use clear definitions and contextual guidance, validate it with users before release, and follow up on usage and feedback. Training and ongoing iteration are essential to building trust and adoption. Tell us about a retrospective analysis you would run after a marketing experiment. I would define the experiment hypothesis, success metrics, target population, attribution window, and any confounding changes before reviewing results. I would measure lift against an appropriate control or baseline, evaluate statistical and business significance, and segment results to identify where performance differed. I would conclude with a clear recommendation to scale, revise, or stop the approach, along with the assumptions and limitations. Opportunity details ## About this role. ### WHO ARE WE? [Launch Potato](https://launchpotato.com/careers?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-back-to-careers) is the discovery and conversion company. We reach tens of millions of people every month through our brands, including [FinanceBuzz](https://financebuzz.com/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand), [All About Cookies](https://allaboutcookies.org/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand), and [OnlyInYourState](https://www.onlyinyourstate.com/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand). We turn that attention into real outcomes for our partners, some of the world’s leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. ### WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato. BASE SALARY: $120,000 to $150,000 per year, paid semi-monthly 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 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. 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. TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we’ve been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Launch Potato logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/30f8890f-221-1.png) Launch Potato Oct 12 New ### [Lead BI Developer](https://jobicy.com/jobs/155159-lead-bi-developer-2.md) WHO ARE WE? Launch Potato is the discovery and conversion company. 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