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- Tasks: Transform raw data into actionable insights and develop reporting tools.
- Company: Forward-thinking analytics firm based in Manchester.
- Benefits: Competitive salary, comprehensive benefits, and flexible work options.
- Why this job: Make a real impact by analysing complex datasets and driving innovation.
- Qualifications: Bachelor's degree in a related field and experience with SQL and data visualisation tools.
- Other info: Join a collaborative team with a focus on creativity and growth.
The predicted salary is between 28800 - 43200 £ per year.
A forward-thinking analytics firm in Manchester seeks a Data Analyst to transform raw data into actionable insights. This role involves analyzing complex datasets, providing data-driven insights, and developing reporting tools.
Candidates should possess a Bachelor's degree in a related field and experience with SQL and data visualization tools like Tableau and Power BI.
Join a collaborative team fostering innovation with competitive salary and comprehensive benefits.
Data Insights Analyst - Flexible, High-Impact Data Work in Manchester employer: mrkit
Contact Detail:
mrkit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst - Flexible, High-Impact Data Work in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects using Tableau or Power BI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on SQL queries and data analysis techniques. We recommend practising common interview questions related to data insights to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Insights Analyst - Flexible, High-Impact Data Work in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and data visualisation tools like Tableau and Power BI in your application. We want to see how you can transform raw data into actionable insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to analysing complex datasets and developing reporting tools. It helps us see how you fit into our forward-thinking team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at mrkit
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data visualisation tools like Tableau and Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've transformed raw data into actionable insights in previous roles. Think of specific examples where your analysis led to significant decisions or improvements, as this will demonstrate your ability to add value to the team.
✨Understand the Company’s Vision
Research the analytics firm and understand their approach to data. Knowing their recent projects or innovations can help you align your answers with their goals, showing that you're genuinely interested in being part of their forward-thinking team.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their data strategy or how they foster innovation within the team. It shows that you're engaged and eager to contribute to their collaborative environment.
