• Utilize contouring and treatment planning expertise to prepare and assess treatment planning contours using the currently-accepted clinical guidelines in radiation therapy • Maintain awareness of contouring best practices, including the latest contouring protocols, in radiotherapy treatment planning in markets throughout the world • Verify the accuracy of trained models and recommend necessary changes for clinical acceptance • Working with Product Lead/Manager(s) and engineering teams as related projects arise • Generate verification and validation testing results • Collaborate on data and research projects as selected by the company

Role Description The Program & Analytics Manager is a strategic, individual-contributor role focused on driving high-impact initiatives that support business growth, reduce costs, increase efficiency, and reduce operational errors, grounded in rigorous data analysis. This role focuses on identifying opportunities, building data-backed business cases, and owning cross-functional projects end-to-end; from problem definition through implementation and measurement. You'll work closely with Operations leadership, Product, Technology, Finance, and external partners to turn data into strategy and strategy into measurable outcomes. Key Responsibilities - Identify and evaluate operational opportunities tied to cost reduction, efficiency gains, scalability, and error reduction. - Query and analyze complex datasets (SQL, spreadsheets, BI tools) to quantify impact, prioritize initiatives, and support decision-making. - Build clear business cases, success metrics, and ROI expectations for proposed initiatives. - Actively investigate and resolve immediate, high-priority issues (such as inventory discrepancies, order cancellations, and fulfillment bottlenecks) to ensure seamless service delivery and minimal customer impact. - Own strategic, cross-functional initiatives from concept through execution. - Define scope, timelines, risks, and dependencies. - Drive alignment across stakeholders and ensure accountability, without formal management authority. - Track progress and communicate outcomes and tradeoffs to leadership. - Redesign processes to reduce manual work, defects, and rework. - Leverage AI tools to automate repetitive manual tasks and free up capacity for higher-value work. - Partner with Product and Technology on system improvements and automation. - Update SOPs and operating models as new solutions are implemented. - Build and maintain dashboards and recurring reports to track KPIs and program performance. - Define KPIs and success metrics for initiatives. - Monitor performance post-launch, dig into root causes of variance, and iterate as needed. - Document learnings and share insights across teams. Qualifications - Strong analytical and problem-solving skills, with a track record of using data to influence decisions and strategy. - Proficiency in SQL for querying and analyzing data. - Experience building dashboards/reports in BI tools (e.g., Tableau, Looker, Power BI). - Advanced Excel/Google Sheets skills (pivot tables, modeling, complex formulas). - Experience using AI tools to automate manual tasks and streamline workflows. - Proven experience driving cross-functional projects or programs. - Comfort working in ambiguity and defining problems from scratch. - Excellent written and verbal communication skills. - Self-motivated with a strong ownership mindset. - Intellectual curiosity and a bias toward inventing new approaches rather than defaulting to how things have always been done. - Bachelor's degree in a quantitative field (e.g., statistics, economics, mathematics, engineering, data science) required. Requirements - Available to work full shifts until 4:30pm PST. - Fluent in speaking, reading, and writing English. - Reliable high-speed internet connection for home office.

• 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.