Hightouch is a modern AI platform for marketing and growth teams, seeking an Analytics Engineer to enhance their internal data systems. The role focuses on building reliable data models and advising business leaders across Sales, Marketing, and Finance to drive insights and improvements.
Responsibilities:
- 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
Requirements:
- 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
- Experience supporting multiple areas of a business simultaneously (Sales, Marketing, Finance, etc.)
- Experience being on a data team at a startup