At a Glance
- Tasks: Transform data into actionable insights using Power BI and SQL.
- Company: Leading logistics company in Sandbach with a focus on innovation.
- Benefits: Competitive salary, annual bonus, and enhanced benefits.
- Why this job: Make a real impact by helping the company enhance its services through data analysis.
- Qualifications: Experience in Power BI and SQL, with strong analytical and communication skills.
- Other info: Join a dynamic team and grow your career in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading logistics company in Sandbach is seeking a Support Analyst specializing in Power BI to provide IT systems and data support. You will help the organization with data analysis, generating insights, and making informed decisions to enhance their services.
The ideal candidate should have experience in Power BI and SQL, an analytical mindset, and the ability to communicate findings to non-technical stakeholders.
A competitive salary, annual bonus, and enhanced benefits are offered.
Power BI Analyst — Turn Data Into Decisions in Sandbach employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI Analyst — Turn Data Into Decisions in Sandbach
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and data analysis work. This will give you an edge when chatting with potential employers, as they can see your expertise in action.
✨Tip Number 3
Prepare for interviews by practising common questions related to Power BI and SQL. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job listings that you won’t find anywhere else.
We think you need these skills to ace Power BI Analyst — Turn Data Into Decisions in Sandbach
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI in your application. We want to see how you've used it to turn data into actionable insights, so don’t hold back on those examples!
Speak Their Language: When writing your application, use terminology that resonates with the logistics industry. We’re looking for someone who can communicate complex data findings clearly, so show us you can do just that!
Be Analytical: Demonstrate your analytical mindset by including specific instances where your data analysis led to informed decisions. We love seeing how you’ve made a difference through your insights!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Maxwell Bond
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI features and functionalities. Brush up on your skills by reviewing past projects or creating sample dashboards to showcase your analytical abilities during the interview.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, be prepared to discuss your experience with it. Practice writing queries and think of examples where you've used SQL to extract and analyse data effectively.
✨Communicate Like a Pro
You’ll need to explain complex data insights to non-technical stakeholders. Prepare to demonstrate how you can simplify technical jargon into clear, actionable insights that anyone can understand.
✨Research the Company and Its Services
Familiarise yourself with the logistics company’s operations and services. Understanding their business model will help you tailor your answers and show how your skills can directly benefit their decision-making processes.