Lead Data Analytics (Growth)

Felix Technologies

19h • Hybrid

About The Position

We are looking for an extremely analytical, hands-on, and business-oriented Lead Data Analytics to lead our Growth analytics track. This role sits at the intersection of Marketing, Product, and Partnerships, acting as a strategic data partner to uncover growth opportunities, prioritize high-impact initiatives, and help teams make better decisions through data. In this position, you will own the end-to-end analytics strategy across our primary growth levers—including Paid Media, Referrals, CRM Lifecycle, Partnerships, and multi-product expansion. Your focus will be on helping the business maximize new user acquisition at efficient CAC, unlock incremental transaction volume, and increase customer lifetime value (LTV), while maintaining strong unit economics. This is a high-visibility leadership role within a fast-paced and collaborative environment. You will lead and mentor a high-performing team composed of a Data Analyst and a Data Scientist, providing strategic direction, raising the bar on analytical and technical delivery, and helping the team continuously improve how they operate. Beyond dashboards and reporting, we are looking for someone who enjoys deeply understanding the business, exploring new opportunities, forming and testing hypotheses, and turning complex data into clear insights and actionable strategies. The ideal candidate will be comfortable moving quickly, getting hands-on when needed, and working closely with cross-functional teams to continuously learn, iterate, and drive growth.

Requirements

• 6+ years of experience in Data Analytics, Growth Analytics, or Analytics Engineering within high-growth B2C tech companies, fintechs, neobanks, or top-tier data/marketing analytics practices
• Exceptional, hands-on SQL skills; comfortable querying large-scale transaction and event databases, modeling relational data, and optimizing query performance.
• Deep domain knowledge in at least one (ideally multiple) key growth levers: Paid Media performance, CRM/Lifecycle incrementality, Referral loops, Branding/MMM, or Partner acquisition.
• Proven track record designing and analyzing A/B tests, multivariate experiments, and incrementality frameworks with statistical rigor.
• Hands-on proficiency in Python for analytical modeling, data manipulation, and exploratory analysis. Formal coursework or background in Data Science, ML, Actuarial Science, Economics, Engineering, or Statistics is highly valued.
• Demonstrated ability to manage, mentor, and elevate data analysts and data scientists without losing hands-on technical edge.
• Ability to balance complex long-term analytical projects with immediate "quick wins", prioritizing high-impact solutions over unnecessary complexity.
• Fluency in translating complex data insights into concise, strategic narratives for founders, product leads, and cross-functional teams.
• These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

Responsibilities

• Act as the primary point of contact and lead analytics partner for Growth, Marketing, Product, and Partnerships, translating business questions into analytical roadmaps and actionable growth levers.
• Direct, empower, and develop a team composed of a Data Analyst and a Data Scientist, raising the bar on analytical rigor, execution velocity, and business impact.
• Own and elevate our multi-touch attribution model, co-redesign our Paid Media investment strategy based on marketing elasticity, and refine Brand budget allocation using Media Mix Modeling (MMM).
• Elevate our CRM incrementality testing framework in close partnership with the Partner/CRM team to measure true lift across lifecycle campaigns and push notification/messaging funnels.
• Partner with the New Bets and Product teams to define measurable goals, establish KPI frameworks, and identify quick wins for multi-product adoption (cross-selling wallet, credit, and new regional rails).
• Design, implement, and analyze A/B tests, incrementality studies, and holdout groups to validate growth hypotheses quickly and efficiently.
• Write complex, performant SQL queries, model growth datasets, and build self-serve reporting (preferably in Omni/BI tools) to provide real-time visibility into acquisition funnels, retention cohorts, and LTV.
• Collaborate with the Partnerships team to model, evaluate, and optimize the commercial value and ROI of co-marketing and distribution agreements.

Benefits

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• Health, dental, and vision plans
• Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
• Continuous learning opportunities
• Unlimited PTO
• Paid parental leave
• Empowering opportunities for growth in a dynamic entrepreneurial environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed