At a Glance
- Tasks: Transform complex data into insights and develop dashboards with Power BI.
- Company: Join The Progeny Group Limited, a leading wealth management firm in Leeds.
- Benefits: Enjoy 30 days of holiday, private medical insurance, and a group pension scheme.
- Other info: Be part of an innovative team working with cutting-edge technologies.
- Why this job: Make a real impact on how data drives decisions in financial services.
- Qualifications: Experience in financial services and strong SQL skills required.
The predicted salary is between 30000 - 40000 £ per year.
The Progeny Group Limited in Leeds is seeking a skilled Data Analyst to join their innovative team. This role focuses on transforming complex data into actionable insights, developing dashboards with Power BI, and improving data quality.
Candidates should have experience in financial services, strong SQL skills, and a desire to work with cutting-edge technologies.
Benefits include:
- 30 days of holiday
- Private medical insurance
- Group pension scheme
If you're looking to influence how a leading wealth management firm leverages data, this is your chance.
Data Analyst: AI-Powered Dashboards & Automation in Leeds employer: The Progeny Group Limited
The Progeny Group Limited is an exceptional employer located in Leeds, offering a dynamic work culture that fosters innovation and collaboration. With generous benefits such as 30 days of holiday, private medical insurance, and a group pension scheme, employees are supported both personally and professionally. The company prioritises employee growth through opportunities to work with cutting-edge technologies in the financial services sector, making it an ideal place for those looking to make a meaningful impact in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: AI-Powered Dashboards & Automation in Leeds
✨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 The Progeny Group Limited!
✨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 Analyst: AI-Powered Dashboards & Automation at The Progeny Group Limited.
✨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 The Progeny Group Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst: AI-Powered Dashboards & Automation at The Progeny Group Limited, 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 Analyst: AI-Powered Dashboards & Automation in Leeds
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 The Progeny Group Limited, 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 The Progeny Group Limited. 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 The Progeny Group Limited
✨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 The Progeny Group Limited!
✨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.
