Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver actionable insights and develop analytical projects to support business strategy.
- Company: Leading organisation focused on data-driven decision making and innovative analytics solutions.
- Benefits: Professional development, mentoring opportunities, and autonomy over your projects.
- Why this job: Join a forward-thinking team and work on high-impact projects using AI and Machine Learning.
- Qualifications: Proficiency in Power BI, SQL, and experience with data modelling and visualisation.
- Other info: Collaborate with diverse teams and contribute to continuous improvement in data processes.
The predicted salary is between 40000 - 50000 ÂŁ per year.
The Company
Our client is a leading organization driving data‑led decision making across multiple business areas. The company invests in innovative analytics solutions to empower teams with actionable insights and ensure data‑backed strategic decisions.
Why you’ll love working here
- Be part of a growing, forward‑thinking Data Insights team
- Work on high‑impact projects using Data Science, Machine Learning, and AI
- Collaborate with cross‑functional stakeholders including Finance, Research, and Operations
- Opportunities for professional development and mentoring junior analysts
- Enjoy autonomy and ownership over your projects
The Role
As an Insight Analyst, you will join the Data Insights team within the Business Intelligence function, delivering actionable insights for senior leaders and strategic business areas. This is a high‑autonomy role where you will conceptualize, plan, and execute data projects from start to finish.
Key responsibilities
- Develop, implement, and deliver analytical projects to support business operations and strategy
- Analyse performance, forecast metrics, and assess the impact of business interventions
- Create compelling storytelling reports and visualizations for technical and non‑technical stakeholders
- Collaborate closely with Data Scientists, Machine Learning Engineers, and cross‑functional teams
- Mentor junior analysts and contribute to continuous improvement of data processes and models
Your Experience
We are looking for someone analytical, proactive, and capable of translating complex data into actionable insights. You’ll bring a mix of technical skills, business awareness, and effective communication.
Key requirements
- Strong proficiency in Power BI, including DAX and Power Query
- Experience with data modelling (Kimball methodology) and visualization best practices
- Hands‑on SQL experience and familiarity with cloud platforms (Azure or AWS)
- Understanding of data warehousing concepts and tools such as Snowflake or DataFactory
- Experience in analysing business operations, identifying trends, and making data‑driven recommendations
Insights Analyst in Liverpool employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio of your analytical projects, especially those involving Power BI and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and storytelling. Be ready to discuss how you've used data to drive decisions and the impact of your work on previous projects.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Insights Analyst in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Insights Analyst role. Highlight your proficiency in Power BI, SQL, and any relevant data modelling experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data insights. Share specific examples of how you've used data to drive decisions or improve processes in previous roles.
Showcase Your Analytical Skills: In your application, don’t just list your technical skills; demonstrate how you've applied them in real-world scenarios. We love seeing how you’ve turned complex data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Data Tools
Make sure you brush up on your Power BI skills, especially DAX and Power Query. Be ready to discuss how you've used these tools in past projects, as well as any data modelling techniques you've applied. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've analysed business operations and identified trends in your previous roles. Think about specific metrics you've forecasted or interventions you've assessed. This will demonstrate your ability to translate complex data into actionable insights, which is key for the Insights Analyst role.
✨Communicate Clearly
Since you'll be creating reports for both technical and non-technical stakeholders, practice explaining your analytical findings in simple terms. Use storytelling techniques to make your insights compelling. This will highlight your communication skills and your ability to engage with diverse audiences.
✨Emphasise Collaboration
Be prepared to discuss your experience working with cross-functional teams, including Data Scientists and Machine Learning Engineers. Share examples of how you've collaborated on projects and mentored junior analysts. This will show that you value teamwork and are ready to contribute to a growing Data Insights team.