Sr. Analytics Engineer-Product Insights (Hybrid)

What you'll do

• Design data systems, analytics tools, and pipelines that process large amounts of data.
• Integrate and transform data from multiple sources, delivering accurate insights and visualizations for product and business decisions.
• Manage multiple projects, communicate trade-offs to stakeholders, and use and share AI tools in daily work.

What they ask for

• Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience).
• Strong programming skills in at least one modern language (Python, Go, or similar), deep SQL expertise, and hands-on experience with modern data platforms.
• Experience designing systems for moving and changing data at scale, cloud infrastructure, and a SaaS environment.
• Strong data visualization, engineering best practices, communication skills, and proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

• Experience with predictive analytics, machine learning, or AI to solve business problems; enterprise-scale semantic layers; or thought leadership in analytics and data engineering.
• Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms.

Pay

$140,000 - $220,000 per year (base salary)

Tools

Python, Go, SQL, Kubernetes, Docker, AWS, GCP, OCI

AI focus

Use AI tools daily to work faster, improve decision-making and workflows, and drive business outcomes; predictive analytics, machine learning, and AI for business problems are preferred experience.