At a Glance
- Tasks: Analyse and model complex data structures for major telecoms and financial services.
- Company: Specialist engineering consultancy transforming critical platforms.
- Benefits: Fully remote work, occasional office visits, and a quick hiring process.
- Other info: Opportunity to work alongside engineers and grow in a dynamic environment.
- Why this job: Join a large transformation programme and make a real impact with your data skills.
- Qualifications: Hands-on graph database modelling experience and strong SQL skills.
The predicted salary is between 56700 - 69300 £ per year.
Fully Remote, occasional trips into Reading or London (1-2 times per year).
Do you enjoy working out how messy, undocumented data actually fits together, and then designing something better? I'm working with a specialist engineering consultancy that modernises and migrates critical platforms for big telecoms and financial services organisations. They're hiring a Senior Data Modeller to join a large transformation programme for a major UK mobile and broadband operator. The programme has about seven workstreams, and each needs serious data analysis and modelling. You'll sit alongside the engineering team and take real modelling work off their plate from day one. This role is about modelling and analysis. It isn't data engineering, and there's no dashboarding, reporting or development work.
What you'll be doing:
- Analyzing source systems to understand their structure, relationships and data quality, often without a subject matter expert to lean on.
- Reverse engineering and documenting data models where the documentation is thin or missing.
- Designing graph data models that represent complex relationships and support efficient traversal.
- Building conceptual, logical and physical target models that bring together data from several source systems.
What they're looking for:
- Hands-on graph database modelling experience. Neo4j is ideal, and Neptune or Gremlin are also relevant.
- Strong SQL for querying, profiling and validating large datasets.
- Proven experience modelling complex enterprise data that comes from several sources.
- A solid grasp of how model design affects query performance and scalability.
- Experience on a cloud platform (GCP, AWS or Azure).
The details:
- Fully remote (UK), with the odd optional office visit.
- Quick process: technical interview with two of the engineers, then a short final chat with engineering leadership.
Data Modeler/Analyst in Reading employer: Future Talent Group
Join a forward-thinking technology company in Witney, Oxfordshire, where innovation meets opportunity! As an Embedded Software Engineer, you'll be part of a dynamic team dedicated to developing next-generation software for autonomous systems, with a strong emphasis on employee growth and hybrid working arrangements. Enjoy a collaborative work culture that fosters creativity and problem-solving, while contributing to groundbreaking projects that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler/Analyst in Reading
✨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 Future Talent Group!
✨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 Modeler/Analyst at Future Talent Group.
✨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 Future Talent Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeler/Analyst at Future Talent Group, 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 Modeler/Analyst in Reading
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 Future Talent Group, 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 Future Talent Group. 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 Future Talent Group
✨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 Future Talent Group!
✨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.
