Analytics Engineer

19 hours ago

🌏 Anywhere in the World

đŸ’” $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Logo of Hightouch

Hightouch

Marketing ‱ Advertising ‱ SaaS

Hightouch is a Composable Customer Data Platform (CDP) that enables marketing teams to personalize and optimize campaigns using customer data and AI decisioning. Built on your data warehouse, Hightouch allows for real-time personalization, audience segmentation, and journey orchestration without writing code. It integrates with over 200 tools, turning data infrastructure into actionable insights for marketing, advertising, and data teams. Hightouch empowers organizations to maintain control over their data while offering advanced features like audience targeting and conversion tracking to enhance advertising reach and campaign performance.

51 - 200 employees

Founded 2020

☁ SaaS

📋 Description

‱ 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.

🎯 Requirements

‱ 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

đŸ–ïž Benefits

‱ Meaningful equity compensation in the form of ISO options ‱ Early exercise ‱ 10 year post-termination exercise window

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