At a Glance
- Tasks: Transform data into actionable insights and empower teams with analytics.
- Company: Yorkshire Building Society, committed to a data-driven culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team in a supportive environment focused on innovation.
- Why this job: Be a key player in shaping a data-driven organisation and make impactful decisions.
- Qualifications: Passion for data, analytical skills, and ability to collaborate with teams.
The predicted salary is between 35000 - 45000 £ per year.
Are you passionate about turning data into action and building a truly data-driven culture?
We're looking for a Data Intelligence Partner to help accelerate Yorkshire Building Society's journey to becoming a truly data-driven organisation.
This isn't a traditional reporting role.
You'll partner with business teams to unlock the value of data, champion self-serve analytics, and help colleagues use insight to make smarter decisions.
You'll play a key role in driving adoption of Power BI, building data capability across the organisation, and embedding a culture where data informs decision-making at every level.
This is a hybrid role, a mix of working from home plus time in our central Leeds
Data Intelligence Partner employer: Yorkshire Building Society Group
Yorkshire Building Society Group is an exceptional employer, offering a dynamic work culture that values collaboration and innovation in Leeds. Employees benefit from a competitive package, flexible working arrangements, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact through data-driven insights.
Contact Details:
Yorkshire Building Society Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Intelligence Partner
✨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 Yorkshire Building Society 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 Intelligence Partner at Yorkshire Building Society 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 Yorkshire Building Society Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Intelligence Partner at Yorkshire Building Society 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 Intelligence Partner
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 Yorkshire Building Society 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 Yorkshire Building Society 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 Yorkshire Building Society 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 Yorkshire Building Society 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.
