Analytics Engineer

About Hightouch Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others. Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. About The Role At Hightouch, the data team wears a lot of hats. We build the internal systems and data models that keep every part of the business moving quickly and reliably. We act as strategic advisors — using data to surface weaknesses and help the company continuously improve. Additionally, we engage directly with our largest customers to support high-impact data engineering initiatives. As an Analytics Engineer, you'll be primarily focused on owning our internal data models and serving as a trusted advisor to business leaders across Sales, Marketing and Finance. The ideal candidate is someone who can build rock-solid data systems and work with business leaders to continuously extract insights to guide the business. If you're looking for a role where your work has broad, visible impact across the entire company — this is it. What You'll Do Design and maintain the internal data models and systems that power decision-making across Sales, Marketing, Finance — built to be reliable, scalable, and accessible to non-technical users. Act as a strategic advisor to business leaders, proactively using data to identify areas of weakness and opportunity across the company. Troubleshoot complex data issues, investigate discrepancies, and guide internal teams toward better upstream data practices. Communicate findings and recommendations clearly to both technical and non-technical audiences. Contribute to documentation, standards, and playbooks that make the analytics function more effective and scalable over time. Measure and communicate the business impact of your work — revenue growth, efficiency gains, better decisions. What We're Looking For Expert-level SQL skills and deep, hands-on experience with cloud data warehouses. Hands-on experience building complex data models with dbt. Experience with Omni Analytics or Looker. Comfortable and confident engaging with business leaders and customers — you can walk into any room and earn credibility fast. Curious about what problems the business has and how your work can add value A strategic mindset — you proactively identify what matters, separate high-impact from low-impact work, and act accordingly. High ownership mentality — you're someone who wants more responsibility, not less. Thinks like a business analyst, executes like a software engineer. Actively integrating AI into your day-to-day workflows — you've done the experimenting and you're learning where it adds real leverage. Bonus If You Have Experience supporting multiple areas of a business simultaneously (Sales, Marketing, Finance, etc.). Experience being on a data team at a startup. The salary range for this position is $170k–$220k per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window. #LI-DNI