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- Tasks: Extract and analyse data to provide insights for client reporting and improve processes.
- Company: Dynamic company located in Tower Quays, Birkenhead, focused on client success.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
- Other info: Flexible working arrangements and a chance to learn from industry experts.
- Why this job: Join a team where your analytical skills can make a real difference for clients.
- Qualifications: Experience in data analysis and familiarity with Microsoft tools like Power BI and Excel.
The predicted salary is between 26000 - 30000 £ per year.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Location: Tower Quays, Birkenhead - Must live within a commutable distance
Salary: £26,000 - £30,000 pa
Main Duties:
- Extract data from multiple sources and produce insights for client reporting.
- Input and process data including audit data and customer data connected to client projects.
- Cleanse and validate data from multiple pipelines, monitoring data quality and removing corrupt data.
- Extract data from various platforms and software systems (currently including Microsoft 365 tools, SharePoint, OneDrive, ShareFile, and project-specific platforms such as Snap Surveys and BigChange JobWatch) and check for issues.
- Create and maintain automated workflows using Microsoft Power Automate to streamline data collection, processing, and reporting.
- Use the data to forecast trends in relation to client projects.
- Perform statistical analysis of audit data for client reporting.
- Use Microsoft Power BI to visualise data in easy-to-understand formats, such as diagrams and graphs.
- Communicate with stakeholders to understand data content and business requirements.
- Attend client meetings as required (typically virtually).
- Carry out basic administration tasks to support the broader Client Services team as required.
Key Interfaces:
The Data Analyst will support the Project Managers and Client Services Director, and will also liaise directly with our clients.
Skills, Experience and Qualifications:
- Experience in data analysis, business intelligence, or data operations role.
- Working knowledge of databases, BI tools, or data visualisation platforms including Power BI.
- Working knowledge of automation tools, particularly Microsoft Power Automate, including error handling in automated workflows.
- Strong analytical mindset with the ability to interpret complex data and present insights clearly.
- Good understanding of information management, data quality principles, and system workflows.
- Competent with Microsoft 365 especially Excel and other collaborative digital tools.
- Ability to balance multiple tasks, prioritise effectively, and meet deadlines.
- Strong communication skills, able to translate technical concepts for non-technical users.
- Curious, analytical, and eager to grow technical and sector knowledge.
- Strong attention to detail and commitment to accuracy.
- Collaborative and approachable, with a user-focused mindset.
- Proactive in identifying improvement opportunities and solving problems.
- Willingness to learn about industry-specific requirements.
Core Microsoft 365 Tools (consistent Across Projects):
- Microsoft Excel
- Microsoft Power Automate
- SharePoint
- OneDrive
- ShareFile
Project-Specific Platforms (subject To Change):
- Snap Surveys
- BigChange JobWatch
- WordPress
- Max Contact Dialler
Data Analyst employer: Aqualogic (WC) Ltd
Contact Detail:
Aqualogic (WC) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Power BI or Power Automate. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Brush up on your analytical mindset and be ready to discuss how you've tackled complex data challenges in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Analyst role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your data analysis and BI tool experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your analytical mindset can contribute to our team. We love seeing genuine enthusiasm for data and problem-solving.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with Microsoft 365 tools, especially Excel and Power BI. We’re keen on candidates who can demonstrate their ability to visualise data and automate workflows, so give us the details!
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 shows you’re proactive, which we love!
How to prepare for a job interview at Aqualogic (WC) Ltd
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft 365 tools, especially Excel and Power BI. Be ready to discuss how you've used these tools in past roles to extract insights and create visualisations. Showing familiarity with automation tools like Power Automate will definitely give you an edge!
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical mindset. Think about times when you interpreted complex data and presented it clearly to stakeholders. Being able to explain your thought process will demonstrate your ability to handle the responsibilities of a Data Analyst.
✨Communicate Effectively
Since you'll be liaising with clients and project managers, practice translating technical concepts into layman's terms. During the interview, focus on how you can communicate insights effectively, ensuring everyone understands the data's implications without getting lost in jargon.
✨Be Proactive and Curious
Demonstrate your eagerness to learn and improve processes. Share instances where you've identified improvement opportunities or solved problems in previous roles. This proactive attitude is key for a Data Analyst, and it shows you're not just looking to fill a role but to grow within the company.