At a Glance
- Tasks: Lead large-scale research projects and enhance operational processes with automation.
- Company: Award-winning insights and research business focused on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a focus on operational excellence.
- Why this job: Combine your tech skills with project management to shape the future of research.
- Qualifications: Experience in market research and strong survey scripting skills required.
The predicted salary is between 56250 - 68750 £ per year.
I'm working with an award winning, leading insights and research business that is investing heavily in automation, technology, and operational excellence. They're looking for a Data Operations Manager to join their team and take ownership of the operational delivery of large-scale, multi-market research programmes. This is a fantastic opportunity for someone who enjoys combining technical expertise with project delivery, process improvement, and stakeholder management.
You'll be involved in:
- Survey scripting, data processing, reporting, and workflow automation
- Managing complex research projects and mitigating delivery risks
- Building and improving automation workflows and operational processes
- Working closely with research, operations, and technology teams
- Driving efficiencies and helping shape the future of research operations
We're looking for:
- Experience within market research, research operations, or data processing
- Strong survey scripting skills (Qualtrics, Decipher, Forsta, Dimensions or similar)
- Experience with quantitative data workflows, dashboards, and reporting
- A proactive problem-solver who can manage multiple priorities and stakeholders
- Automation and process improvement experience
- Exposure to Python, SQL, JavaScript, APIs, or workflow automation tools would be a strong advantage.
Please apply for next steps. We encourage applications from individuals of all backgrounds and actively seek to embrace diversity across age, gender identity, sexual orientation, disability, race, religion, and sex.
For successful applicants, a recruitment consultant will be in touch via email to schedule a briefing call. We will explain the role in more detail and share the company details before creating a formal application.
Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted.
Data Operations Manager in City of London employer: ENI – Elizabeth Norman International
As a leading insight consultancy based in London, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and support for those passionate about making a real-world impact through public sector research. Our hybrid working model ensures flexibility, allowing you to balance your professional and personal life while contributing to meaningful projects that shape society.
Contact Details:
ENI – Elizabeth Norman International Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Manager in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ENI – Elizabeth Norman International!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Operations Manager at ENI – Elizabeth Norman International.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ENI – Elizabeth Norman International.
✨Apply Directly through Our Website
When you find a suitable opening like Data Operations Manager at ENI – Elizabeth Norman International, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Operations Manager in City of London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ENI – Elizabeth Norman International, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ENI – Elizabeth Norman International. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ENI – Elizabeth Norman International!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
