• Work in partnership with the Director of Customer Success/Analytics to build, maintain, and improve reporting, dashboards, and data tools supporting client merchandising programs • Manage and maintain core data assets, including active field rep rosters, store master lists, and program location data, ensuring accuracy, completeness, and consistent structure across systems • Build and refresh field coverage and proximity analyses that inform staffing plans, travel classifications, and client program feasibility • Support capacity planning and labor estimating, including rep-hours modeling for new and existing retail programs • Manage recurring data refreshes and reporting cadences for active client programs, including execution, audit, and compliance reporting • Develop and maintain Airtable bases, interfaces, and automations that support field operations and program management workflows • Extract, clean, and transform data from Salesforce and other source systems to support analysis and reporting • Collaborate cross-functionally with program managers, account teams, Information Services (IS), and field leadership to identify data needs and resolve data quality issues • Establish and track KPIs that benchmark program performance and measure the impact of operational decisions • Structure large data sets, create clear visualizations, and translate findings into actionable recommendations for internal stakeholders and clients • Document data processes, definitions, and methodologies to build repeatable, scalable reporting practices

• Teach core data analysis and statistical analysis techniques • Build skills in data visualization and business intelligence • Help clients apply data-driven decision making to real business problems • Guide clients through market research and competitive analysis • Offer resume review, LinkedIn review, and cover letter guidance • Provide interview prep and networking strategy tailored to analytics and BI roles • Support those pursuing freelancing opportunities in the space

• Build dashboards, reports, and analyses according to business needs, applying solid Data Storytelling principles and data visualization best practices; • Collaborate with internal teams to implement Business Intelligence solutions that support data-driven decision making; • Ensure peak performance by optimizing complex SQL queries that support reports, using AI in the validation process; • Lead the migration and decommissioning of legacy dataviz tools, centralizing and migrating visualizations to our official platform (Databricks); • Develop, implement, and disseminate standards, governance processes, audit and certification procedures for the company's official reports, ensuring a monitored and reliable environment; • Work directly with the embedded reporting ecosystem, ensuring that data views integrated into the company portal perform excellently for our clients; • Perform cross-data analyses to generate insights and recommendations for continuous improvement using analytical and automation tools; • Collaborate with Data teams (Engineering and Architecture) to continuously improve the architecture, modeling, and governance of the data that feed the BI; • Conduct discovery sessions with business areas to map needs, translate requirements, and rigorously document business rules; • Maintain ongoing relationships with teams across Caju to keep all stakeholders informed, acting with strong technical leadership and self-management.

Role Description 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 - 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, 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 articulating 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. Qualifications - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. - Strong candidates have owned reporting end-to-end, from pipeline to dashboard. - Experience working with messy, complex, third-party data. - Ability to partner closely with business teams to uncover meaningful trends and connect data work to decisions that moved the business. Requirements - 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. Benefits - Base salary: $120,000 to $150,000 per year, paid semi-monthly. - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits. - Performance-driven company: Future increases based on company and personal performance, not annual cost of living adjustments. Company Description Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. 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.