Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Lead BI Manager
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- Remote from
- USA
- Salary
- USD 120k–150k / yr
- Department
- Data Science & Analytics
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 11 Nov 2026
- Listing views
- 75
- Application actions
- 3
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The role, at a glance.
Launch Potato seeks a senior business intelligence leader to own reporting infrastructure and become a proactive analytical partner for its finance-oriented performance marketing verticals. The role spans raw data ingestion, complex SQL analysis, LookML or equivalent semantic-model development, dashboard standardization, and self-service analytics enablement. This person will partner closely with Yield, Paid Media, and Account Management teams to analyze experiments, offers, creatives, seasonality, CAC, and funnel performance. Success requires at least seven years of BI or analytics experience, strong performance or affiliate marketing exposure, and the ability to translate ambiguous data into clear business actions. It is a high-ownership, remote US role with a stated base-salary range of $120,000 to $150,000 annually.
Role DNA
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Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I would start by defining the metric precisely, tracing it from the dashboard through the semantic layer and transformation logic to the raw source data. I would reconcile each stage, identify the root cause—such as grain mismatch, filter logic, late-arriving data, or attribution differences—then document the correction, validate it with stakeholders, and add monitoring to prevent recurrence.
I would first audit dashboard usage, core decisions, metric definitions, source systems, and known inconsistencies with each stakeholder group. Next, I would create a prioritized metric dictionary and trusted semantic models, consolidate redundant reports, and release a standardized reporting suite in phases with training and feedback loops to drive adoption.
I begin with the experiment design, audience, attribution window, and success metric, then compare results against an appropriate baseline while checking sample size, duration, seasonality, and confounding changes. I would quantify the business impact on downstream measures such as conversion rate, revenue per session, CAC, and profitability, and clearly state both the recommendation and confidence level.
I would map the data grain, primary keys, join relationships, metric definitions, and intended business use before making changes. I would use reusable dimensions and measures, controlled explores, testing and validation against source data, and version-controlled peer review to minimize unintended downstream impact.
I clarify the decision the stakeholder needs to make, the operational context, target audience, timeframe, and success criteria before querying data. After analysis, I present the key finding in business terms, explain relevant caveats, recommend a specific action, and identify the follow-up metric that will show whether the action worked.
About this role.
WHO ARE WE?
Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. 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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