Product Analytics & Ops Specialist β€” BI & AI

Product Analytics & Ops Specialist β€” BI & AI

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Beamery

At a Glance

  • Tasks: Create impactful dashboards and analyses to empower product teams and executives.
  • Company: Join Beamery, a forward-thinking company focused on data-driven decisions.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values collaboration and creativity.
  • Why this job: Shape the future of product analytics and drive innovation with AI-powered workflows.
  • Qualifications: Experience in product analytics and proficiency with tools like Pendo and Hex.

The predicted salary is between 35000 - 45000 Β£ per year.

Beamery is seeking a product analytics professional to build impactful dashboards and analyses that empower product teams and executives. You will partner across Talent CRM, Work Architecture, and Work Intelligence, shaping data-driven decisions and driving adoption of analytics tools.

You will leverage Pendo, Hex, and other tools to deliver scalable analytics, while designing AI-powered workflows to automate key product ops processes and ensure data quality across the organization.

Product Analytics & Ops Specialist β€” BI & AI employer: Beamery

Beamery is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech and data sectors. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact in the world of data and AI while enjoying a supportive environment that values your contributions.

Beamery

Contact Details:

Beamery Recruitment Team

We think you need these skills to ace Product Analytics & Ops Specialist β€” BI & AI

Product Analytics
Dashboard Development
Data Analysis
Pendo
Hex
AI-Powered Workflows
Data Quality Assurance