• Serve as the analytics partner for credit products: build the pipelines and dashboards that power decision making across the full product lifecycle, from feature launch and rollout monitoring through mature product analytics • Design and own dbt models with a focus on performance, scalability, and the nuances of credit data • Build dashboards that go beyond reporting to answer critical product and portfolio questions • Support experimentation across the credit portfolio • Partner with stakeholders to shape requirements, prioritize the highest impact work, and connect analysis back to business outcomes • Proactively identify trends and opportunities, thinking beyond the immediate request • Contribute to team culture: code reviews, peer feedback, and evolving our shared best practices

Role Description Apartment List's Data & Analytics team is looking for a Senior Analyst, Growth & Marketing Analytics to sharpen how we measure and optimize our marketing performance. This is a hands-on individual contributor role for someone who has built real analytical depth in a marketing or growth context and is ready to apply it with increasing independence and impact. You’ll work closely with stakeholders in Marketing, Product, Finance, and Growth teams and report to the Senior Director of Data & Analytics. Day to day, you'll own analysis and reporting within marketing channels or program areas, develop measurement frameworks that drive better investment decisions, and partner closely with our Marketing and Finance teams to turn data into action. This role sits at the intersection of technical craft and business intuition and it's a place where strong, rigorous analytical work translates directly into how we grow. Here's what you'll do: - Own performance tracking, reporting, and analysis for marketing channels or programs, building reliable, well-structured work that stakeholders can act on with confidence. - Design and analyze experiments to evaluate channel effectiveness, including A/B tests and incrementality frameworks. - Build and maintain dashboards and reporting in Looker or similar tools that make it easy for growth teams to self-serve on key metrics. - Contribute to LTV and forecasting models, supporting the team's ability to connect paid marketing spend and lifecycle activity to downstream revenue impact. - Proactively flag measurement gaps, data anomalies, and analytical risks and bring proposed solutions. - Translate complex analysis into clear, well-scoped narratives for stakeholders across Growth and Finance, adjusting depth and framing to your audience. Qualifications - 3–5 years of experience in a marketing analytics, growth analytics, or closely related data role, ideally at a consumer-focused or high-growth technology company. - Strong, independent SQL skills - you can dive into an unfamiliar data domain, write accurate and efficient queries, and know when something looks off. - Solid grounding in marketing measurement concepts: channel performance metrics, attribution approaches, and advanced measurement approaches (incrementality, media mix). - Experience building reporting and dashboards in a BI tool (Looker, Tableau, or similar). - Comfortable working with experimentation concepts; you understand what makes a test valid and what can make results misleading. - Strong analytical communication skills: you can identify the right level of detail for your audience and write up findings that earn buy-in, not just acknowledgment. - Fluency with AI tools to accelerate analysis and reporting - for example, using LLMs to speed up SQL drafting, QA logic, or summarize findings, while still knowing when to verify outputs against your own judgment. Requirements - Experience across both paid and email/lifecycle marketing programs. - Experience in mobile analytics. - Experience with Python or R for statistical analysis or modeling. - Experience with GA4 or similar web analytics platforms. - Experience using AI tools to automate parts of the analytics workflow - for example building agents or scripts that pull data, run recurring QA checks, or auto-generate reporting summaries. Benefits - The US Total Target Compensation (TTC) for this position is: - Zone 1: $116,000 - $141,000 TTC (including $104,000 - $124,000 base salary) + equity - Zone 2: $108,000 - $130,000 TTC (including $97,000 - $114,000 base salary) + equity - Zone 3: $99,000 - $120,000 TTC (including $89,000 - $105,000 base salary) + equity - This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. - Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration.

• Understand requests from internal teams and define and monitor strategic KPIs, partnering with the business; • Build high-impact Power BI dashboards and derive actionable insights that deliver real business value: Data Visualization & Insights; • Manipulate data and ensure the quality of deliveries through ETL/ELT processes: Data Engineering.

• Monitor inbound and outbound file transmissions, feeder files, batch jobs, and interface processing activities to ensure successful delivery • Validate file completeness, record counts, naming conventions, formatting standards, and transmission requirements • Perform reconciliations between source and target systems to verify control totals, record counts, and successful data delivery • Investigate failed, delayed, missing, duplicated, or corrupted transmissions and coordinate resolution with technical and functional teams • Monitor exception reports, transmission logs, alerts, and operational metrics to identify issues and support timely remediation • Support integration testing, System Integration Testing (SIT), User Acceptance Testing (UAT), cutover activities, and production readiness efforts • Partner with integration, remediation, finance, and reporting teams to resolve transmission issues impacting data quality and reporting performance • Support processing of ERP feeder files, GTAS-related data exchanges, and downstream reporting interfaces • Maintain audit-ready documentation, operational procedures, escalation logs, incident records, and transmission support artifacts • Assist with go-live support and stabilization efforts by monitoring transmission health and helping restore reliable data movement when issues arise