All remote jobs

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.

Remote from
USA
Salary
USD 120k–150k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
29 Oct 2026
Listing views
34
Application actions
3
Application 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 seeks a senior Business Intelligence Lead to own end-to-end reporting infrastructure and analytics for performance-marketing verticals. The role requires advanced SQL, LookML or equivalent BI modeling expertise, and comfort working directly with messy third-party data. The hire will partner closely with Yield, Paid Media, and Account Management teams to standardize dashboards, analyze funnel performance, and recommend actions across campaigns, offers, creatives, seasonality, and CAC. Success depends on becoming a trusted analytical partner who drives adoption, data literacy, and commercially relevant insights rather than merely delivering dashboards. The position calls for 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

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-seniority, end-to-end BI ownership role requiring both deep technical modeling skills and strong commercial judgment in a fast-changing performance-marketing environment. The lead must resolve data-quality issues, influence stakeholders, and translate complex analyses into decisions with measurable business impact.

Salary analysis

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

Estimated job medianMarket rate
$135,000
US market range$120k–$160k
AI insightThe disclosed base salary range is $120,000-$150,000 USD per year, with a midpoint of $135,000. A competitive US market range for a lead-level business intelligence professional with advanced SQL, LookML, and performance-marketing expertise is approximately $120,000-$160,000 annually; profit-sharing and benefits may supplement base pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe how you would audit and standardize an inconsistent set of performance-marketing dashboards.

I would begin by interviewing primary users to understand the decisions each dashboard supports, then inventory metrics, source tables, business definitions, refresh logic, and known discrepancies. I would establish a metric dictionary and certified source-of-truth models, prioritize high-impact dashboards, and retire or consolidate redundant reporting. Finally, I would validate outputs with stakeholders and monitor adoption to ensure the standardized suite is trusted and used.

How do you investigate a discrepancy between a paid-media platform metric and an internal BI dashboard?

I first define the exact metric, date range, timezone, attribution window, filters, and grain being compared. I trace both calculations back through source extraction, transformations, joins, and aggregation logic, checking for late-arriving data, duplicate records, currency handling, and differing attribution rules. I communicate findings clearly, document the approved definition, and implement tests or alerts to prevent recurrence.

Give an example of how you would use data to improve campaign performance.

I would segment performance by channel, audience, creative, offer, device, and time period to identify where conversion rate, revenue per session, or CAC diverges meaningfully. After validating data quality, I would quantify the likely upside and recommend a controlled test, such as reallocating spend toward a stronger creative-offer combination. I would measure results against a defined baseline and share the recommendation with context, confidence level, and next steps.

What considerations matter when changing a complex LookML model?

I would first map the model's explores, joins, derived tables, dimensions, measures, access controls, and downstream dashboards. Before releasing changes, I would assess join cardinality, fanout risk, metric-definition impacts, query performance, and backward compatibility. I would use version control, peer review, validation queries, and stakeholder communication so changes preserve trust in existing reporting.

How do you make analytics accessible to nontechnical stakeholders without oversimplifying it?

I start with the business decision and lead with the few metrics that directly inform it, using plain language and clear definitions. I explain important assumptions, caveats, and recommended actions while making supporting detail available through drill-downs or documentation. This approach helps stakeholders act confidently while maintaining transparency about analytical limitations.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

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.

Apply now >

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.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Applying is free. After signing in, return to this job and select Apply Now.
Add alert
Jobs Talent AI Tools Salaries
Menu