Top Data & Analytics Jobs
As a Senior Data Analyst, you will provide insights to product and business teams, drive analytics projects for customer engagement, and collaborate across functions. You will establish best practices in analytics, mentor team members, and help influence major decisions with data.
As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.
As a Senior Data Analyst at Aircall, you'll provide essential insights to product and business teams, support initiatives in customer acquisition and retention, and mentor team members while collaborating across departments. You'll also be involved in improving data governance and executing A/B tests to measure business impact.
Join Aircall as a Senior Data Engineer in San Francisco to design, build, and maintain core data infrastructure. Collaborate with teams to enhance data stack, ensure data integrity, and lead technology optimization efforts.
As a Senior Data Analyst, you will provide insights for product and business teams, support initiatives in pricing and multi-product strategies, and mentor team members. You will partner with various departments to create an analytics roadmap, design A/B tests, and continuously improve data practices.
Aircall is seeking a Head of Data Science to lead the data team and drive impactful initiatives across data science, analytics, and data engineering. The role involves defining and executing data strategy, leading AI and ML projects, fostering a culture of experimentation, and establishing best practices in data science.
As a Data Science Manager at Aircall, lead initiatives using AI, machine learning, and advanced analytics to enhance business operations. Develop data strategy, manage data science projects, and promote a culture of experimentation.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
All Filters
No Results
No Results
