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- Tasks: Create stunning Power BI dashboards that turn data into actionable insights.
- Company: Join a forward-thinking team focused on data-driven decision making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by transforming raw data into engaging visual stories.
- Qualifications: 2+ years of Power BI experience and strong DAX skills required.
- Other info: Collaborative environment with a focus on innovation and data governance.
The predicted salary is between 36000 - 60000 £ per year.
Overview:
The ideal candidate will have in-depth knowledge of Power BI and a proven track record of building interactive, insightful dashboards and reports that enable data driven decision making. This position will work within GPL PMO to gather requirements and transform raw data into actionable insights through high quality visualizations.
Key Responsibilities:
- Design, develop, and deploy visually appealing and interactive Power BI dashboards and reports for a variety of stakeholders.
- Work with business teams to understand data requirements, KPIs, and reporting needs.
- Extract, clean, and transform data from various sources (databases, Excel, etc.) to build reports.
- Implement and optimize data models to support performance and user-friendly visualizations.
- Create calculated measures, DAX queries, and data relationships to enhance dashboards’ accuracy and functionality.
- Ensure the reliability and security of the data used in dashboards, adhering to best practices for data governance.
- Troubleshoot and resolve any issues with Power BI reports, data discrepancies, or performance problems.
Required Skills and Qualifications:
- Proven expertise in Power BI (with a strong portfolio of previous dashboard projects).
- Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and reports.
- Hands-on experience with data modeling and structuring data for efficient querying and reporting.
- Knowledge of integrating Power BI with multiple data sources (SQL, Excel, SharePoint, web services, APIs, etc.).
- Familiarity with Power BI Service (publishing, sharing reports, and creating workspaces).
- Excellent understanding of data visualization best practices.
- Strong analytical skills with the ability to translate complex data into clear, actionable insights.
- Ability to collaborate effectively with non-technical stakeholders and adapt to their needs.
Desired Qualifications:
- Knowledge of additional BI tools (e.g., Tableau, Qlik) is a plus.
- Familiarity with other Microsoft technologies like SQL Server, Azure, or Office 365.
- Experience in data governance and security practices in BI.
Core Essential Skills:
- Minimum 2 years’ experience in Power BI (with a strong portfolio of previous dashboard projects).
- Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and reports.
- Hands-on experience with data modeling and structuring data for efficient querying and reporting.
- Knowledge of integrating Power BI with multiple data sources (SQL, Excel, SharePoint, web services, APIs, etc.).
- Familiarity with Power BI Service (publishing, sharing reports, and creating workspaces).
- Excellent understanding of data visualization best practices.
R&D Data Business Analyst employer: Stefanini Group
Contact Detail:
Stefanini Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R&D Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI dashboards and reports. This will not only demonstrate your expertise but also give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and Power BI. Be ready to discuss your previous projects and how you tackled challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace R&D Data Business Analyst
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI in your application. Share specific examples of dashboards you've built and how they helped drive decisions. We want to see your strong portfolio!
DAX is Key!: Since DAX is crucial for this role, don’t forget to mention your proficiency in it. Include any complex measures or calculated columns you've created, as this will show us you know your stuff!
Tailor Your Application: Take a moment to tailor your application to the job description. Mention how your skills align with the responsibilities listed, especially around data modelling and visualisation best practices. We love seeing candidates who pay attention to detail!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Stefanini Group
✨Showcase Your Power BI Portfolio
Make sure to bring along a strong portfolio of your previous Power BI dashboard projects. This is your chance to visually demonstrate your skills and creativity, so choose examples that highlight your ability to create interactive and insightful reports.
✨Understand the Business Needs
Before the interview, research the company and its business model. Be prepared to discuss how you would gather requirements from stakeholders and transform raw data into actionable insights. Showing that you can align your technical skills with their business goals will impress them.
✨Brush Up on DAX and Data Modelling
Since DAX proficiency is crucial for this role, make sure you're comfortable discussing your experience with creating measures and calculated columns. Be ready to explain your approach to data modelling and how you've structured data for efficient querying in past projects.
✨Prepare for Technical Questions
Expect some technical questions about integrating Power BI with various data sources like SQL and Excel. Practise explaining your troubleshooting process for any issues you've encountered with Power BI reports, as this will show your problem-solving skills and attention to detail.