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- Tasks: Analyse and present data insights to drive business decisions.
- Company: Join a dynamic team focused on data-driven strategies.
- Benefits: Competitive pay, flexible hours, and opportunities for growth.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Strong analytical skills and proficiency in Excel, SQL, and data visualisation.
- Other info: Collaborative environment with a focus on innovation and learning.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst will assess data quality from several collection points across the wider business then manage the organisation of that data into presentations. The presentations will then be presented to the Trade In manager in weekly and monthly meetings coordinated by the business analyst.
Collecting, analysing, and interpreting data, information, and statistics. Collating data from a variety of fields, including all retail channels and proposition. Data analysts must collaborate with sales and marketing teams to ensure the flow of data which enables the Trade In analyst to write reports & analyse trends for senior managers.
Key Responsibilities- Assessing data from various collection points Retail, CX and Finance, highlighting any information queries or gaps prior to sharing.
- Present findings to management team through weekly or monthly meetings and detailed reporting. Must prepare both written reports and visual presentations to share their findings.
- Analytical thinking Analysts successfully examine and assess data from a variety of sources, ranging from Channel data, pricing data to customer segment profiles and cost data.
- Strong skills in Microsoft Office mainly Excel (Power Query / Power Pivot).
- Languages needed would be 'M' code, Advantage DAX and SQL.
Data Analyst in Manchester employer: Arsenault
Contact Detail:
Arsenault Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as data analysts. They can give you insider tips and might even know about job openings before they're advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your ability to assess data quality and present findings effectively. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for common interview questions related to data analysis, like how you handle data discrepancies or how you present findings. Mock interviews with friends can help you nail your responses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data analysts like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with data management. We want to see how you've tackled data quality issues in the past, so don’t hold back on those examples!
Showcase Your Tools: Since we’re big on Excel and SQL, be sure to mention your proficiency with these tools. If you’ve used Power Query or DAX, let us know! It’ll help us see how you can hit the ground running.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data analysis and how you can contribute to our team. Make it personal and engaging – we love a good story!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Arsenault
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with data analysis concepts and tools mentioned in the job description. Brush up on your Excel skills, especially Power Query and Power Pivot, and be ready to discuss how you've used them in past projects.
✨Prepare for Real-World Scenarios
Think about specific examples where you've assessed data quality or collaborated with teams. Be prepared to explain how you identified gaps in data and what steps you took to resolve them. This will show your analytical thinking and problem-solving skills.
✨Visual Presentation Skills Matter
Since you'll be presenting findings, practice creating clear and engaging visual presentations. Bring examples of your previous work if possible, and be ready to discuss how you tailor your presentations for different audiences, especially for management.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the data sources they use or how the Trade In manager prefers to receive reports. This shows your interest in the role and helps you understand their expectations better.