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- Tasks: Deliver actionable analytics and support business strategy using Power BI and SQL.
- Company: Leading organisation in Manchester with a forward-thinking culture.
- Benefits: Hybrid work model, mentorship opportunities, and influence over innovative data projects.
- Other info: Collaborate with cross-functional teams in a supportive environment.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- Qualifications: Strong skills in Power BI, SQL, and data visualisation.
The predicted salary is between 35000 - 45000 £ per year.
A leading organization in Manchester is seeking an Insight Analyst to join their Data Insight team. In this hybrid role, you'll deliver actionable analytics, support business strategy, and collaborate with cross-functional teams.
The ideal candidate will have strong skills in Power BI, SQL, and data visualization. This position offers opportunities for mentorship and influence over innovative data projects, set in a forward-thinking environment.
Insight Analyst - Power BI & Data Visualization (Hybrid) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst - Power BI & Data Visualization (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Power BI and data visualisation projects. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those interview questions by rehearsing answers that highlight our experience with SQL and analytics. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Insight Analyst - Power BI & Data Visualization (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Power BI, SQL, and data visualisation. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Insight Analyst position and how you can contribute to our Data Insight team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive decisions or influence strategy. We’re looking for someone who can deliver actionable insights, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and SQL. Brush up on your data visualisation skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your expertise will show that you're the right fit for the role.
✨Understand the Business Context
Research the organisation and its business strategy. Understand how data insights can drive decision-making. This will help you tailor your answers to show how you can support their goals and collaborate effectively with cross-functional teams.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Think of examples from your past experience where you delivered actionable analytics. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for Mentorship and Innovation
Since this role offers mentorship opportunities, express your eagerness to learn and grow. Discuss how you can contribute to innovative data projects and how you value collaboration in a forward-thinking environment. This will resonate well with the interviewers.