MarTech Analyst – LATAM

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PadSplit

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🏠 Real Estate

👥 B2C

🏪 Marketplace

💰 $20.5M Series B on 2021-11

Real Estate • B2C • Marketplace

PadSplit is a platform that focuses on affordable co-living solutions, allowing individuals to rent private rooms in shared homes across various cities in the United States. By offering flexible stays with trusted identity and screening measures, it aims to create a safe and homey environment for its members. PadSplit markets itself as a more affordable option compared to other room rental services and helps members save money and build credit. The company also provides an opportunity for property owners to earn and make a positive impact in their communities by hosting rooms. PadSplit is recognized for its innovative technology and affordable housing solutions.

📋 Description

• Own Segment CDP governance: Maintain and evolve the event taxonomy across web, mobile, and server-side sources. Own cross domain and cross identity mapping. Audit data quality, resolve identity resolution issues, and ensure every marketing tool downstream receives clean, reliable data. • Own Rockerbox attribution: Serve as the day-to-day owner of our multi-touch attribution platform. Diagnose channel-level performance, investigate attribution anomalies (including consent tool impacts), and build the feedback loops that inform paid media spend decisions. • Build and maintain marketing measurement infrastructure: Develop and document the measurement layer for all Member and Host Growth experiments — owning success metrics integrity, building pre/post cohorts, and ensuring statistical validity before results are acted upon acting as a consultative partner to marketing. • Support lifecycle automation analytics: Partner with our Marketing Automation team (Iterable) to ensure behavioral triggers, segmentation logic, and campaign performance data are accurate and actionable. Audit automation flows for data integrity. • Build AI-augmented marketing analytics workflows: Identify repetitive analysis tasks — weekly reporting, anomaly detection, data quality checks — and replace them with AI-powered pipelines. You will be expected to actively prototype and ship AI workflows, not just evaluate them. • Partner across data, product, and paid media: Collaborate with our Data team (Snowflake warehouse), Performance Marketing (Rockerbox, AppsFlyer, Google/Meta), and Product (Segment instrumentation on new features) to ensure the measurement layer scales as the business does. • Build and maintain marketing dashboards: Own the marketing measurement layer in Hex and other BI tools. Create dashboards that give the team a single source of truth on CAC, conversion velocity, funnel efficiency, and channel-level attribution. • Diagnose attribution and data quality issues: When a metric looks wrong, you investigate and resolve it — not escalate it. You own the answer.

🎯 Requirements

• Segment CDP mastery: Deep, hands-on experience managing a Segment workspace — event schemas, sources, destinations, identity resolution, and data governance. You know what a track call should look like and why it matters. • Attribution platform experience: Hands-on experience with Rockerbox, AppsFlyer, or a comparable MTA platform. You understand first-touch vs. last-touch vs. data-driven attribution and know when each is the right lens. • Optimizing Cross-Platform Integrations experience: You know how to make systems talk to one another leveraging tools like Zapier or Make to connect marketing, CRMs (Salesforce + ZenDesk), attribution tools and reporting systems. You love good automation. • SQL proficiency (required): You write complex analytical queries independently — CTEs, window functions, cohort logic. Snowflake or BigQuery experience preferred. • Python proficiency (strongly preferred): Experience using Python for data manipulation, pipeline scripting, or analysis automation. Pandas, dbt, or similar tooling is a plus. • AI/LLM hands-on experience: You have built something with an LLM — a prompt-based workflow, an automated analysis pipeline, an agent-assisted reporting tool, or similar. You approach AI as a productivity multiplier, not a novelty. • Lifecycle/ESP/CRM analytics experience: Familiarity with Iterable, Braze, or a comparable lifecycle platform — specifically the analytics and data layer, not just campaign execution. • Marketing analytics fluency: You understand CAC, LTV, conversion rate by funnel stage, channel specific nuances and ROAS. You can move between a data model and a marketing strategy conversation without losing context. • English fluency (required): You will work daily with a US-based team. Strong written and spoken English is essential for async collaboration, documentation, and cross-functional alignment. • Experiment measurement: Experience designing measurement frameworks for A/B tests — control/treatment cohort construction, metric selection, and results interpretation.