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# 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)Share24 Aug 2026Published45Listing views3Application actions23 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryLaunch Potato is seeking a senior Business Intelligence Lead to own end-to-end reporting infrastructure and become an embedded analytical partner for performance-marketing verticals. The role requires expert SQL, advanced LookML or equivalent BI modeling expertise, and comfort working with messy third-party data from ingestion through dashboard delivery. The hire will standardize reporting, improve trusted data sources, analyze experiments and funnel performance, and help Yield, Paid Media, and Account Management teams act on insights. Success depends on connecting campaign, conversion, CAC, revenue, offer, creative, and seasonality data to business decisions. Candidates need at least seven years of BI or analytics experience with direct performance or affiliate marketing exposure.

## 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 requiring deep technical modeling skills alongside performance-marketing fluency and stakeholder influence. The candidate must resolve data ambiguity, establish standards, and proactively turn analyses into recommendations in a fast-changing environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$135,000US market range$120k–$160k0$176k

AI insightThe disclosed base-salary range is USD 120,000 to USD 150,000 yearly, with a midpoint of USD 135,000. A reasonable US market base-salary range for a lead-level BI professional with seven or more years of experience, advanced semantic-modeling skills, and performance-marketing specialization is approximately USD 120,000 to USD 160,000 annually; profit sharing and benefits are additional and are not included in the base-salary calculation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Advanced SQL](https://jobicy.com/jobs?search_keywords=Advanced%20SQL.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[LookML](https://jobicy.com/jobs?search_keywords=LookML.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Performance Marketing Analytics](https://jobicy.com/jobs?search_keywords=Performance%20Marketing%20Analytics.md)[Affiliate Marketing](https://jobicy.com/jobs?search_keywords=Affiliate%20Marketing.md)[Dashboard Standardization](https://jobicy.com/jobs?search_keywords=Dashboard%20Standardization.md)[Data Pipeline Ownership](https://jobicy.com/jobs?search_keywords=Data%20Pipeline%20Ownership.md)[Experiment Analysis](https://jobicy.com/jobs?search_keywords=Experiment%20Analysis.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)

Sample interview questionsHow would you audit and standardize a fragmented reporting environment during your first 30 days?I would inventory the dashboards, source tables, metric definitions, owners, audiences, and usage patterns. I would reconcile high-impact discrepancies back to source data, identify duplicate or low-adoption reporting, and prioritize a standardization roadmap based on business impact, trust risk, and implementation effort.

Describe how you would investigate a sudden decline in campaign conversion rate.

I would first validate the metric definition and data freshness, then segment the decline by traffic source, campaign, device, geography, offer, landing page, and time. I would compare funnel-stage changes and recent operational changes such as tracking releases, creative updates, offer availability, or traffic-mix shifts before presenting a quantified diagnosis and recommended action.

What practices do you use to design reliable LookML models for downstream users?

I establish clear grain, primary keys, joins, dimensions, measures, and reusable metric definitions before exposing explores. I test for fanouts and duplicate counting, document business logic, use version control and peer review, and assess downstream dashboard dependencies before changing shared semantic-layer components.

How do you make sure dashboards are adopted rather than merely delivered?

I begin with stakeholder decisions rather than requested visuals, defining the actions each report should enable and the audience's data literacy level. I provide concise metric definitions, validate outputs with users, remove unnecessary complexity, and monitor usage and feedback after launch to iterate on the reporting experience.

Give an example of turning retrospective analysis into a proactive business recommendation.

For example, after analyzing creative and offer performance across seasonal cohorts, I would isolate the combinations that improved conversion and revenue per session while controlling for traffic mix. I would recommend a prioritized test plan, define expected impact and guardrail metrics, and create monitoring that flags when similar conditions recur.

### 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.

Show more

[Apply now >](https://jobicy.com/jobs/151514-business-intelligence-lead-performance-marketing-2.md)

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