Lead Data Analyst: Commercial Analytics & Strategy in London

Lead Data Analyst: Commercial Analytics & Strategy in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Data Idols

At a Glance

  • Tasks: Lead a team to deliver impactful data insights and shape strategic decisions.
  • Company: Join Data Idols, a forward-thinking analytics company in London.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Mentorship opportunities and a dynamic team environment await you.
  • Why this job: Make a real difference by influencing decisions with your data expertise.
  • Qualifications: Advanced SQL skills and experience with analytics engineering tools required.

The predicted salary is between 60000 - 80000 Β£ per year.

Data Idols is hiring a Principal Data Analyst in London with hybrid work arrangements.

You will lead a small analytics team, deliver commercially impactful insights, and partner with commercial, product and engineering teams to shape strategic decisions through data.

The role requires advanced SQL, experience with analytics engineering tooling such as dbt, and a track record of mentoring analysts.

You will influence day-to-day decisions and long-term direction with data-driven insight.

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Lead Data Analyst: Commercial Analytics & Strategy in London employer: Data Idols

Data Idols is an exceptional employer for those looking to make a significant impact in the tech industry. With a hybrid work model in vibrant London, employees enjoy a collaborative culture that fosters innovation and creativity, alongside ample opportunities for professional growth and development. Join us to tackle complex machine learning challenges while being part of a forward-thinking team dedicated to shaping the future of technology.

Data Idols

Contact Details:

Data Idols Recruitment Team

We think you need these skills to ace Lead Data Analyst: Commercial Analytics & Strategy in London

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Governance