Similar Jobs
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.
We’re hiring an Analytics Engineer to help our internal teams get the most out of our data. You’ll work directly with stakeholders across the business—Sales, Marketing, Product, Finance, and beyond—to understand their goals and translate them into reliable, scalable data models. In this role, you’ll act as both a trusted technical advisor and a strategic partner, ensuring that our data warehouse and analytics layer empower teams to answer questions with confidence.
Your work will have a direct and visible impact by creating clean, well-modeled datasets and intuitive reporting structures that make it easy for non-technical users to access insights. You’ll help us move faster, make better decisions, and turn raw data into real, measurable business impact. You’ll say no to activities that don’t help the business drive more revenue.
What You'll Do
- Work with all areas of the business to understand their objectives and how you can aid them in make high quality decisions, fast and consistently.
- Develop strong working relationships with leaders in all areas in the business to allow for continuous adaptation to changes in the business.
- Develop data oriented solutions in the form of data models and systems that drive immediate business value and are strong enough to last
- Troubleshoot complex data issues and guide internal teams toward best practices. Ensure data quality and consistency by investigating discrepancies and improving upstream data processes.
- Prioritize projects across multiple departments while maintaining high quality and responsiveness. ****
- Contribute to internal tooling, documentation, and knowledge sharing to uplevel the team. Build standards, playbooks, and internal data products that make the analytics function more effective and scalable.
- Measure and communicate the business impact of your work with stakeholders. Demonstrate how your models and pipelines drive outcomes like revenue growth, efficiency gains, or improved decision-making.
- 3+ years working as an analytics engineer, data engineer, data scientist or similar
- Strong SQL skills and hands on experience working with cloud data warehouses
- Hands-on experience building complex data models with dbt
- Hands-on experience with Looker or Omni Analytics
- Experience designing data models/systems to be used by dozens of users
- Ability to differentiate between high vs low business impact activities
- Ability to communicate clearly with both technical and non-technical audiences.
- Ability to balance immediate business needs with long term usability
- A high level of ownership of their work and is excited for more responsibility
- Thinks like a business analyst and executes like a software engineer
Bonus If You Have
- Experience working with the Hightouch product
- Experience working with all areas of a business at once (sales/marketing/finance/product)
- Experience being the singular data practitioner at a company
The salary range for this position is $160k-$180k 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
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
