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- Tasks: Create stunning Power BI dashboards and manage data modelling with SQL.
- Company: Leading pension management firm in Darlington with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and a range of employee perks.
- Why this job: Join a dynamic team and make an impact in data-driven decision-making.
- Qualifications: Experience with complex datasets and strong communication skills required.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading pension management firm located in Darlington is seeking a Business Intelligence Analyst on an 18-month fixed-term contract. The role involves developing Power BI dashboards, handling data modelling using SQL, and supporting data warehouse projects.
Candidates should demonstrate experience in handling complex datasets, effective communication skills, and a collaborative approach in data-driven environments. This position promotes hybrid working and offers a competitive salary package along with numerous employee benefits.
Hybrid BI Analyst: Power BI & Data Warehousing employer: Railpen Limited
Contact Detail:
Railpen Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid BI Analyst: Power BI & Data Warehousing
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the pension management firm. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Power BI dashboards and SQL data modelling projects. This visual evidence of our expertise can make us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with a mate and do mock interviews. Focus on common BI Analyst questions and how we can demonstrate our collaborative approach in data-driven environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our experience with complex datasets and effective communication skills.
We think you need these skills to ace Hybrid BI Analyst: Power BI & Data Warehousing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and SQL. We want to see how you've handled complex datasets in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your communication skills and collaborative approach. Tell us why you're excited about this role and how you can contribute to our team.
Showcase Relevant Projects: If you've worked on any data warehousing projects or developed dashboards before, make sure to mention them. We love seeing real examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Railpen Limited
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI features and functionalities. Prepare to discuss your previous projects where you developed dashboards, and be ready to showcase your understanding of data visualisation best practices.
✨Brush Up on SQL Skills
Since the role involves data modelling using SQL, it’s crucial to refresh your SQL knowledge. Practice writing complex queries and be prepared to solve problems on the spot during the interview.
✨Showcase Your Communication Skills
Effective communication is key in a collaborative environment. Think of examples where you’ve successfully communicated complex data insights to non-technical stakeholders, and be ready to share these stories.
✨Emphasise Your Teamwork Experience
This position values a collaborative approach, so highlight your experience working in teams. Be prepared to discuss how you’ve contributed to team projects, especially in data-driven settings, and how you handle feedback.