At a Glance
- Tasks: Analyse datasets, create dashboards, and present insights to clients.
- Company: Join a dynamic team focused on data-driven solutions and innovation.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights in a collaborative environment.
- Qualifications: Experience in data analysis, SQL, Power BI, and strong communication skills required.
- Other info: Ideal for those passionate about problem-solving and continuous improvement.
The predicted salary is between 28800 - 42000 £ per year.
What you'll do:
- Analyse complex datasets using SQL to extract actionable insights.
- Create engaging dashboards and reports with Power BI and Excel.
- Collaborate with cross-functional teams to translate business goals into data-driven solutions.
- Present clear, compelling insights to clients and stakeholders.
- Continuously seek ways to enhance analysis processes and decision-making.
What you'll bring:
- Proven experience in data analysis, with excellent SQL skills.
- Strong storytelling and presentation skills, with the ability to simplify complex data.
- Proficiency in Power BI and advanced Excel.
- Excellent communication and interpersonal skills to engage teams and clients.
- A proactive, problem-solving mindset focused on continuous improvement.
Insight Analyst II employer: Retail Insight Limited
Contact Detail:
Retail Insight Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst II
✨Tip Number 1
Familiarise yourself with SQL and Power BI by working on personal projects or online courses. This hands-on experience will not only boost your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Practice your storytelling skills by presenting data insights to friends or family. Simplifying complex information is key, so try to explain your findings in a way that anyone can understand.
✨Tip Number 3
Network with professionals in the data analysis field through LinkedIn or local meetups. Engaging with others can provide valuable insights into the role and may even lead to referrals.
✨Tip Number 4
Stay updated on industry trends and best practices in data analysis. Being knowledgeable about the latest tools and techniques will demonstrate your commitment to continuous improvement during interviews.
We think you need these skills to ace Insight Analyst II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly with SQL, Power BI, and Excel. Use specific examples that demonstrate your ability to extract insights from complex datasets.
Craft a Compelling Cover Letter: In your cover letter, emphasise your storytelling and presentation skills. Explain how you can simplify complex data for clients and stakeholders, and mention any relevant projects where you've successfully collaborated with cross-functional teams.
Showcase Your Problem-Solving Skills: Provide examples in your application of how you've proactively sought to improve analysis processes or decision-making in previous roles. This will demonstrate your proactive mindset and commitment to continuous improvement.
Prepare for Interviews: If invited for an interview, be ready to discuss your analytical approach and how you present insights. Prepare to share specific instances where your data-driven solutions made a significant impact on business goals.
How to prepare for a job interview at Retail Insight Limited
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. You might be asked to solve a problem or explain how you've used SQL to extract insights from complex datasets in previous roles.
✨Demonstrate Your Data Storytelling Ability
Practice explaining complex data in simple terms. Use examples from your past work where you successfully communicated insights to non-technical stakeholders, highlighting your storytelling skills.
✨Familiarise Yourself with Power BI and Excel
Brush up on your Power BI and Excel skills before the interview. Be ready to discuss specific projects where you created dashboards or reports, and consider bringing a portfolio of your work to showcase your proficiency.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've collaborated effectively. Be ready to discuss how you translated business goals into data-driven solutions and how you handle feedback.