At a Glance
- Tasks: Manage data operations and improve automation processes for impactful research projects.
- Company: Established insights and research organisation with a focus on technology and collaboration.
- Benefits: Salary up to £55,000, hybrid working, and career development opportunities.
- Other info: Work on multiple projects and enjoy a collaborative environment.
- Why this job: Join a dynamic team and enhance your skills in data operations and technology.
- Qualifications: Experience in data operations, SPSS, Python, SQL, and strong communication skills.
The predicted salary is between 55000 - 55000 £ per year.
This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You'll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.
The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.
The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes. Key responsibilities include:
- Managing survey scripting, data processing, reporting operations, and workflow delivery
- Improving automation processes, tools, and data pipelines
- Identifying delivery risks and supporting quality assurance processes
- Coordinating priorities across multiple projects
- Working with stakeholders to ensure successful project delivery
- Supporting the development of operational processes and best practices
- Using technology to improve efficiency and reduce manual workloads
Your Skills & Experience
- Commercial experience within data operations, research operations, or data processing
- Hands-on experience using SPSS for data analysis and reporting
- Experience with Python and SQL for data manipulation, automation, and workflow improvement
- Strong data cleaning, transformation, and quality assurance skills
- Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
- Ability to manage multiple projects and deadlines
- Strong communication and stakeholder management skills
- Experience with APIs or workflow automation tools would be beneficial
What They Offer
- Salary up to £55,000
- Hybrid working with 2 days per week in the London office
- Opportunities for career development and progression
Data Operations Manager employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Manager
✨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 Harnham - Data & Analytics Recruitment!
✨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 Harnham - Data & Analytics Recruitment.
✨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 Harnham - Data & Analytics Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Operations Manager at Harnham - Data & Analytics Recruitment, 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
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 Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment
✨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 Harnham - Data & Analytics Recruitment!
✨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.
