Product Marketing Analytics Lead (LatAm Only)

Posted 14 Days Ago
Be an Early Applicant
Hiring Remotely in Mexico City, MX, MEX
In-Office or Remote
Senior level
Artificial Intelligence • Information Technology • Software
The Role
The Product Marketing Analytics Lead will develop and scale R2's marketing data infrastructure, ensuring reliability and real-time insights for marketing partnerships while collaborating across teams to enhance performance visibility and reporting capabilities.
Summary Generated by Built In

At R2, we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions tailored to their needs. We are reimagining the financial infrastructure of Latin America, where SMBs’ financial needs are met without ever having to go to a bank.

R2 enables platforms across Latin America to embed financial services that SMBs can leverage, starting with revenue-based financing. We are a high-performing, close-knit team with talent from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, and J.P. Morgan. 


We are entering a new phase of growth following a strategic investment from Ant International, focused on rapidly expanding our partner footprint, strengthening our credit and underwriting capabilities, and scaling operations across multiple markets. As part of this growth journey, eligible team members have the opportunity to participate in R2’s Phantom Share Program, a performance-based incentive designed to align our team with the company’s long-term success and value creation. We believe in building a culture of ownership, where those who help create value share meaningfully in it.

As a Product Marketing Analytics Lead, you will spearhead the structuring and scaling of R2’s Marketing data infrastructure. You will collaborate cross-functionally with Product, Engineering, Growth, and partner teams to build the systems that power marketing attribution, operational execution, and real-time performance visibility across all R2 partnerships.


What You'll Do:

  • You will work closely with Product Managers, Engineers, Growth, and Marketing teams to build and scale the data infrastructure that powers Marketing at R2.
  • You will own the end-to-end marketing data layer, from ingestion to dashboards to operational execution.
  • You will connect and maintain marketing data sources (Customer.io, Snowflake, partner files, APIs), ensuring data freshness, correctness, and reliability.
  • You will build near-real-time attribution dashboards that connect campaigns to applications and originations.
  • You will design and manage reporting systems in tools such as Looker, Tableau, Metabase, or similar BI platforms.
  • You will enable real-time detection of underperformance and anomalies across partners and campaigns.
  • You will manage manual operational workflows while we automate them, including:
    • Generating and uploading CSV datasets
    • Uploading offer campaigns into our Backoffice
    • Extracting complex ad hoc reports
    • Ensuring correct segmentation in Customer.io
  • You will support marketing experimentation by analyzing performance across segments (amount, risk tier, geography, partner) and providing structured inputs for A/B tests, cadence adjustments, and campaign extensions.
  • You will work with APIs and automation tools to improve the integration between Snowflake, Customer.io, and external partner systems.
  • You will progressively eliminate manual bottlenecks and drive toward fully automated marketing operational workflows.
  • You will be responsible for building a real-time observability dashboard showing how Marketing drives originations at R2.


What We're Looking For:

  • 5+ years of experience in Marketing Ops, Marketing Growth Analytics, Marketing Data Analytics, or similar roles.
  • Advanced SQL proficiency (Snowflake strongly preferred).
  • Strong experience with BI tools such as Looker, Tableau, Metabase, Power BI or similar.
  • Advanced Google Sheets / Excel skills.
  • Experience working with CRM and MarTech tools (Customer.io is a strong plus).
  • Comfortable working with APIs and structured data flows.
  • Strong operational mindset, you are comfortable both building systems and executing manual processes when needed.
  • Proven ability to translate raw data into actionable insights that drive growth decisions.
  • Strong written and oral communication skills in Spanish.
  • Strong fluency in English, both written and spoken.
  • Motivated self-starter with a bias for action who thrives in a fast-paced, high-growth environment.environment.
  • Previous experience in fintech, especially within the Latin American market.
  • Experience working in embedded finance or partner-driven ecosystems.
  • Familiarity with experimentation frameworks and attribution modeling.
  • Experience working in high data-volume environments.

What We Offer:

  • The chance to join a high-impact, mission-driven fintech with regional scale
  • Cross-functional collaboration with exceptional teams across Latin America
  • Equipment provided by R2
  • Training budget for professional development
  • Career growth within R2


Locations:
Bogotá, Buenos Aires, São Paulo

Skills Required

  • 5+ years of experience in Marketing Ops or Marketing Data Analytics
  • Advanced SQL proficiency (Snowflake preferred)
  • Strong experience with BI tools like Looker, Tableau, Metabase
  • Advanced Google Sheets/Excel skills
  • Experience with CRM and MarTech tools (Customer.io preferred)
  • Bilingual in Spanish and English
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The Company
HQ: Mexico City, MX
91 Employees
Year Founded: 2020

What We Do

Through our embedded lending infrastructure, we enable platforms to offer capital to their customers in Latin America. R2 has partnered with some of the region's most iconic companies, including Rappi and Clip, to power their capital arms. We are backed by Gradient Ventures (Google's AI-focused fund), General Catalyst, Y Combinator, 166 2nd, Soma Capital, Femsa Ventures, PayU, and other global investors.

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