At a Glance
- Tasks: Manage and enhance the BigQuery platform while supporting data governance initiatives.
- Company: Reputable client in Manchester with a focus on data excellence.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: 3-4 month contract with potential for future opportunities.
- Why this job: Join a dynamic team and make a significant impact on data management.
- Qualifications: Hands-on experience with BigQuery and strong data governance knowledge.
We're working with a well known client based in Manchester looking for a Data Manager to support their data function on an initial 3-4 month contract. This is a hands-on role focused on maintaining and improving a BigQuery environment.
What you'll be doing:
- Owning and maintaining the BigQuery platform
- Managing data pipelines and resolving issues
- Supporting data governance and data quality initiatives
- Enhancing data models and warehouse structures
- Working closely with analysts and engineers on ad hoc requirements
What they're looking for:
- Strong hands-on experience with BigQuery
- Experience in a Data Manager, Data Lead or Lead Data Engineer capacity
- Strong understanding of data governance, modelling and warehousing
- Experience managing ETL/ELT pipelines
- Available to start in the coming weeks
Contract: Outside IR35, 3-4 month contract, Hybrid, Manchester, £600-£650 per day.
Data Manager in Manchester employer: Method-Resourcing Careers
Join a leading investment management firm in London, where you will be part of a dynamic team dedicated to the safe and effective adoption of AI technologies. With a strong focus on employee growth, this company offers a collaborative work culture that encourages innovation and professional development, alongside competitive benefits and flexible working arrangements. Experience the unique advantage of working in a vibrant city known for its financial prowess, while contributing to meaningful projects that shape the future of AI governance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Manchester
✨Get Involved in Data Science Meetups
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✨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 Method-Resourcing Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Manager at Method-Resourcing Careers, 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 Manager in Manchester
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 Method-Resourcing Careers, 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 Method-Resourcing Careers. 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 Method-Resourcing Careers
✨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 Method-Resourcing Careers!
✨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.
