At a Glance
- Tasks: Design and implement data visualisation solutions using Power BI to support decision-making.
- Company: Established financial services company known for innovation and data-driven strategies.
- Benefits: Competitive salary, job stability, career progression, and a supportive team environment.
- Other info: Collaborative work culture in Leeds with opportunities for professional growth.
- Why this job: Join a forward-thinking analytics team and make an impact with your data skills.
- Qualifications: Proficiency in Power BI, strong analytical skills, and experience with large datasets.
As a Power BI Developer within the analytics department, you will design and implement data visualisation solutions to support key decision-making processes. This role is ideal for professionals with a strong understanding of data analysis and reporting.
The hiring organisation is a well-established company within the financial services industry, known for its commitment to innovation and data-driven decision-making. As part of a mid-sized team, they value technical expertise and a results-oriented approach.
Duties of the Power BI Developer:
- Develop and optimise Power BI dashboards and reports to present key business metrics.
- Collaborate with the analytics team to gather requirements and translate them into technical solutions.
- Ensure data accuracy and consistency across all reporting outputs.
- Integrate multiple data sources into cohesive reports and dashboards.
- Provide technical support and training to end-users on Power BI functionalities.
- Maintain and update existing reports to reflect changing business needs.
- Identify and troubleshoot issues in data pipelines or reporting processes.
- Stay updated on the latest Power BI features and best practices to enhance reporting capabilities.
Profile:
- Proficiency in Power BI, including report creation, data modelling, and DAX scripting.
- Strong analytical and problem-solving skills, with a focus on data interpretation.
- Experience working with large datasets and integrating data from multiple sources.
- Knowledge of database management systems and SQL.
- Understanding of key metrics and trends within the retail industry.
- Effective communication skills to explain technical concepts to non-technical stakeholders.
Job Offer:
- Competitive salary ranging from £55,000 to £65,000 per annum.
- Permanent position offering job stability and career progression opportunities.
- Be part of a forward-thinking analytics team within the financial services industry.
- Enjoy working in a collaborative and supportive environment in Leeds.
- Comprehensive benefits package to be confirmed.
Power BI Developer in Leeds employer: Michael Page
ASDA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Leeds. With a strong commitment to employee growth, ASDA provides numerous opportunities for professional development and advancement, alongside competitive salaries and comprehensive benefits. The hybrid working model allows for flexibility, making it an attractive workplace for those seeking meaningful and rewarding careers in one of the UK's leading retail brands.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI Developer 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 Michael Page!
✨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 Power BI Developer at Michael Page.
✨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 Michael Page.
✨Apply Directly through Our Website
When you find a suitable opening like Power BI Developer at Michael Page, 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 Power BI Developer 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 Michael Page, 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 Michael Page. 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 Michael Page
✨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 Michael Page!
✨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.
