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- Tasks: Deliver actionable insights and lead data projects from start to finish.
- Company: Leading organisation driving data-led decision-making with innovative analytics solutions.
- Benefits: Competitive salary, professional development, 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: Exciting opportunities for mentoring and career growth in a dynamic environment.
The predicted salary is between 40000 - 45000 ÂŁ per year.
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 Insight 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 Insight 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 Data Factory
- Experience in analysing business operations, identifying trends, and making data‑driven recommendations
Next steps:
This Insight Analyst role is highly sought after and won’t stay open for long. Apply today to join our client’s innovative Data Insight team. For any questions or guidance, feel free to reach out directly.
Insight Analyst in Manchester employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects and be ready to discuss how your skills in Power BI and data analysis can contribute. We want you to shine, so practice common interview questions and have your own ready to ask.
✨Tip Number 3
Show off your analytical skills! Bring examples of your past work, especially any compelling reports or visualisations you've created. We love seeing how you’ve turned complex data into actionable insights that made a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to help with any questions you might have along the way, so don’t hesitate to reach out!
We think you need these skills to ace Insight Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Insight Analyst role. Highlight your proficiency in Power BI, SQL, and any relevant data projects you've worked on. We want to see how you can bring value to our Data Insight team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your analytical skills can drive actionable insights. Don’t forget to mention your experience with cross-functional collaboration – we love teamwork!
Showcase Your Projects: If you've worked on any analytical projects, make sure to include them in your application. Whether it's a data visualisation or a forecasting model, we want to see your hands-on experience and how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and you’ll be one step closer to joining our innovative team. Plus, we’re here to help if you have any questions along the way!
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 experience with SQL and cloud platforms like Azure or AWS.
✨Showcase Your Analytical Mindset
Prepare examples of how you've analysed business operations and identified trends. Think about specific instances where your insights led to data-driven recommendations that made a real impact.
✨Communicate Effectively
Since you'll be creating reports for both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Bring along a sample report or visualisation to demonstrate your storytelling skills.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Be ready to discuss how you've collaborated with Data Scientists or other analysts, and how you can contribute to mentoring junior team members.