• Lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. • Provide analytical and technological support and consultation to key partners within the marketing organization. • Construct and curate datasets for model features. • Develop the methodology for model creation, testing, execution, and maintenance. • Manage each project and code base in Github. • Lead working groups and participate in steering committees with our IT partners. • May lead UAT testing. • Provide project communications to Marketing leaders. • Cultivate meaningful relationships with our business partners. • Define analytical and reporting requirements with partners. • Respond to most complex inquiries with actionable insights and advice. • Deliver technical capabilities to partners. • Create dashboards or decks to provide recommendations. • Provide high level data driven insights that confirm or refute our partner’s hypothesis. • Provide guidance to Marketing leaders on investments in technology. • Demonstrate the ROI of technological advancements via proof on concept projects. • Additional tasks may be assigned as necessary.

• Analyze pricing data, drive decision-making in alignment with broader analytics and company initiatives • Lead pricing modeling and analysis using sales, promotional landscape, competitor pricing and market trends • Conduct regular competitive pricing analyses to understand the market position and adjust pricing strategies as needed • Monitor industry trends, consumer behavior and competitor promotions to stay informed of market shifts • Create detailed reports and dashboards to communicate pricing impacts, trends and opportunities to key stakeholders

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.

About Trellis Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer-first mindset, we’re making insurance shopping refreshingly effortless. We’re a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote-first team, we move quickly, experiment boldly, and build with intention. If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis. Position Overview At Trellis, our Consumer Operations team is the heartbeat of the business. It’s a team of licensed insurance agents helping real people, in real time, find coverage. Every call, text, and quote directly impacts revenue. Right now, the data powering those decisions lags behind reality. We're hiring a Data Analyst, Agency to change that. This role sits at the intersection of business reality and data truth. You'll transform messy operational data into clarity, then translate that clarity into decisions that improve agent efficiency, revenue, and overall business health. This is a fully remote position, based in the US or Canada, and will report directly into Keith Schreer, VP of Data. What You'll Do - Partner with Consumer Operations leadership to define the metrics we use to run the business - Investigate unexpected performance changes, uncover root causes, and recommend our response — not just surface symptoms - Build and maintain dashboards, alerts, and monitoring systems that surface issues before they become crises - Connect disparate data sources into a unified, trustworthy picture - Translate complex analysis into clear, actionable insights for non-technical leaders - Help shift the organization from reactive to proactive through better data Who You Are This isn't a "build a dashboard and move on" role. You're someone who: - Doesn't trust a number until you've interrogated it - Spots when something feels "off" before anyone else does - Follows the thread from metric → behavior → outcome - Thrives in fast-moving, ambiguous environments and turns chaos into clarity - Gets energy from being close to how a business actually runs — and from seeing your work directly shape revenue What You Bring - 3–5 years of analytics experience in a fast-paced or startup environment - Strong, hands-on SQL skills and fluency with analytics tools like Looker, dbt, or Tableau - Proven track record of delivering insights that change how a business operates - Experience building proactive monitoring systems and investigating performance trends - Strong cross-functional communication — you can make data make sense for anyone If you get energy from being close to the action and seeing your work directly shape outcomes, we'd love to meet you. Why Trellis? Because you deserve a career that’s exciting, meaningful, and surrounded by people who lift you up. We’re a group of curious, mission-driven humans rewriting the insurance experience and having a lot of fun along the way. At Trellis, you’ll make a real impact on a product millions rely on, and grow alongside a company that’s scaling fast. What sets Trellis apart: ✨ A transparent, collaborative culture where ideas win, not titles 🚀 Big opportunities to take ownership and chart your growth 💰 Competitive compensation (75th+ percentile) 🏡 Fully remote across the US & Canada 🎉 Quarterly virtual and/or in-person events that keep us connected Plus, the benefits are built to support your whole life: 🌴 Flexible vacation (yes, actually flexible) 🩺 100% employer-paid health insurance for employees 💻 Home office budget to create your perfect setup 🧘 Wellness programming, because balance matters 💸 401(k) and HSA contributions, FSAs, bonuses & equity opportunities 🐣 Paid parental leave 👉 If you want a role where you’ll grow, be trusted, and build something that genuinely improves people’s lives, Trellis is the place. Join us. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Note: all employees must complete a background check prior to starting employment with Trellis or its subsidiaries