At a Glance
- Tasks: Lead and optimise data operations for impactful quantitative research projects.
- Company: Join Opinium, a forward-thinking company in the heart of London.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on continuous improvement and excellence.
- Why this job: Make a difference by enhancing research delivery through automation and innovation.
- Qualifications: Strong technical skills and experience in data operations are essential.
The predicted salary is between 45000 - 55000 £ per year.
Opinium in London, within the CODE team, seeks a hands-on operator to deliver quantitative research programmes, including large-scale trackers and multi-market studies. You will combine strong technical capability with operational judgement, manage delivery across automation workflows, survey scripting, data processing, and reporting operations, and drive process improvements to scale research operations.
Data Operations Lead: Automation & Delivery employer: Opinium (Insights with impact)
Opinium is an exceptional employer that offers a dynamic work environment in London, where innovation meets operational excellence. As a Data Operations Manager, you will be at the forefront of transforming research operations, working on high-profile international projects while enjoying a culture that prioritises collaboration and professional growth. With a strong commitment to investing in modern research infrastructure and automation, Opinium provides unique opportunities for skill enhancement and career advancement in a supportive and forward-thinking team.
Contact Details:
Opinium (Insights with impact) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Lead: Automation & Delivery
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We think you need these skills to ace Data Operations Lead: Automation & Delivery
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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