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- Tasks: Analyse data, identify trends, and generate reports for water company clients.
- Company: Dynamic data consultancy firm based in Birkenhead.
- Benefits: Gain hands-on experience with BI tools and automation technologies.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis and familiarity with Microsoft 365, especially Excel.
- Other info: Join a supportive team with opportunities for growth and development.
The predicted salary is between 28800 - 48000 £ per year.
A data consultancy firm in Birkenhead is looking for a Data Analyst to support Client Services by analysing data, identifying trends, and generating reports for water company clients.
Responsibilities include:
- Extracting and processing data
- Cleansing data quality
- Creating automated workflows with Microsoft Power Automate
The ideal candidate will have experience in data analysis, BI tools, and a strong analytical mindset. Familiarity with Microsoft 365, especially Excel, is essential.
Data Analyst: BI, Automation & Client Reporting in Birkenhead employer: Equals One
Contact Detail:
Equals One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: BI, Automation & Client Reporting in Birkenhead
✨Tip Number 1
Network like a pro! Reach out to people in the data consultancy field, especially those working with BI and automation. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Microsoft Power Automate and Excel. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Think about how you would approach cleansing data quality or automating workflows, and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst: BI, Automation & Client Reporting in Birkenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and BI tools. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise in Microsoft 365 and Excel!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. We love seeing enthusiasm and a strong analytical mindset.
Showcase Relevant Projects: If you've worked on any projects involving data extraction, cleansing, or automation, make sure to mention them! We’re keen to see real examples of your work that demonstrate your skills and problem-solving abilities.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Equals One
✨Know Your Data Tools
Make sure you brush up on your knowledge of BI tools and Microsoft 365, especially Excel. 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 examples that highlight your analytical skills. Think about times when you've identified trends or solved complex problems using data. This will demonstrate your ability to think critically and provide valuable insights.
✨Understand Automation Workflows
Familiarise yourself with Microsoft Power Automate and be prepared to discuss how you would create automated workflows. If you have any previous experience with automation, share specific examples to illustrate your capabilities.
✨Practice Data Cleansing Scenarios
Since data quality is crucial, consider practising some data cleansing scenarios. Be ready to explain your approach to ensuring data accuracy and integrity, as this will show your attention to detail and commitment to quality.