Analytics Engineer, Hightouch

• 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

Desirable

• 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
• 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