Full-Time Analytics Engineer

• Engineer scalable data infrastructure – Design, build, and maintain robust, performant, and scalable data pipelines.
• Elevate data modeling – Architect clean, reliable data models that feed core business dashboards, analytics, and machine-learning applications.
• Bridge teams with insight – Collaborate with analysts, data scientists, revenue leaders, and stakeholders across GTM to deliver models and insights that drive better decisions.
• Champion data quality – Apply rigorous data validation and error-handling practices to ensure trust in our analytics layer.
• Optimize performance – Monitor and tune data pipelines for speed and reliability; anticipate growth and ensure systems are future-ready.
• Contribute to AI-driven innovation – Help incorporate GenAI tools and ML workflows that enhance forecasting, personalization, and operational insight across Revenue Operations.
• Lead and mentor – Support junior team members and elevate Assent’s data culture by sharing best practices and leading with empathy.
• Document and scale – Create approachable, scalable documentation and self-serve resources for data consumers across the company.
• Shape our data strategy – Stay on top of data engineering trends and bring your perspective to technical and architectural decisions.

• 5+ years experience in data science, advanced analytics, or full-stack analytics roles, preferably in a B2B SaaS environment.
• Advanced expertise in SQL, DBT, and modern data warehousing (Snowflake preferred).
• Strong proficiency in Python for analysis, modeling, and GenAI applications.
• Solid understanding of data infrastructure and pipeline orchestration, including CI/CD, Git, and Python scripting.
• Hands-on experience with Tableau (or equivalent BI tools); exposure to tools like AWS, Kubernetes, or orchestration frameworks is a bonus.
• Demonstrated exposure to generative AI, ML models, or LLMs, with practical experience in deploying them in analytics or business use cases.

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