Principal Data Strategist – 4-Day Office, 9-Month Contract

Principal Data Strategist – 4-Day Office, 9-Month Contract

Full-Time 44595 - 54505 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data strategy and insights, conducting multi-source analyses and mentoring analysts.
  • Company: Join Modulr, a forward-thinking company in the heart of London.
  • Benefits: Enjoy a 4-day office week, competitive pay, and a 9-month contract.
  • Other info: Collaborative team culture with opportunities for professional growth.
  • Why this job: Shape data governance and make impactful decisions in a dynamic environment.
  • Qualifications: Experience in data analysis and strategic oversight required.

The predicted salary is between 44595 - 54505 Β£ per year.

Modulr is seeking a senior/lead analyst to shape data strategy and insights within our London team.

You will lead multi-source analyses, influence decision-making and partner with stakeholders to elevate data quality and governance.

You will operate across hands-on analysis and strategic oversight, mentoring analysts and defining data standards. This fixed-term role is based in London, four days in the office.

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Principal Data Strategist – 4-Day Office, 9-Month Contract employer: Modulr

Modulr is an exceptional employer located in the vibrant city of Edinburgh, offering a dynamic work culture that prioritises diversity and inclusion. Employees benefit from flexible working arrangements, generous share options, and annual bonuses, alongside a unique Β£1000 flexible benefits package that supports personal growth and well-being. With a strong focus on professional development, Modulr provides ample opportunities for career advancement, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Modulr Recruitment Team

We think you need these skills to ace Principal Data Strategist – 4-Day Office, 9-Month Contract

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