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- Tasks: Analyse data, produce reports, and solve business problems with insights.
- Company: Join a reputable business in Wigan with exciting growth plans.
- Benefits: Enjoy a permanent role with opportunities for professional development.
- Why this job: Be part of a dynamic team and make a real impact with your analytical skills.
- Qualifications: A numerically oriented degree and experience in data analysis are preferred.
- Other info: Contact Sam Fish at 01772 278078 to apply or for more info.
The predicted salary is between 28800 - 48000 £ per year.
Location: United Kingdom, Wigan
Job Type: Permanent
I am currently recruiting for a reputable business located near Wigan who are looking for a Data Analyst to join their exciting journey. The business has a current turnover of 55 million with huge growth plans in place.
As the successful candidate, you will relish building relationships with the business and be a brilliant communicator, able to speak to colleagues clearly and adept at making technical information easily digestible.
Key duties of the Data Analyst will include:
- Responsible for data analysis and producing analytical reports.
- Feeding analysis and briefings into management meetings and understanding the meaning and use of the data, as well as analysing the data quality.
- Perform duties such as collecting, parsing, tagging, analysing, mapping, managing, and visualising large sets of data.
- Solve business problems, determining patterns and insights within structured and unstructured data, coming up with analytics strategies and solutions.
- Acquire, incorporate, interpret, analyse and explain data acquired for the project deliverables.
- Develop solutions to improve data usability and manageability.
- Prepare documentation which captures data acquired, logic applied (e.g. inclusions, exclusions), methodologies, etc.
- Filter and clean data to ensure data is consistent, aggregated and usable.
- Pro-actively assist project manager and work stream leads in the management and resolution of issues & risks.
The successful candidate:
- The ability to analyse, evaluate and interpret commercial and financial data would be a plus, as would any past experience of using financial accounting systems.
- Ideally, you will have a master's, 1st or 2:1 in a numerically oriented degree.
- Experience within a similar role would be highly desirable.
If this is something that interests you, please contact Sam Fish on 01772 278078 or apply direct.
Data Analyst - Wigan employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Wigan
✨Tip Number 1
Familiarise yourself with the specific data analysis tools and software that are commonly used in the industry. Being able to demonstrate your proficiency in tools like SQL, Python, or Excel during conversations can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work in similar industries. Attend local meetups or online webinars to connect with potential colleagues and learn about their experiences, which could give you valuable insights into the role.
✨Tip Number 3
Prepare to discuss real-world examples of how you've solved business problems using data analysis. Think of specific instances where your insights led to actionable strategies, as this will showcase your ability to apply your skills effectively.
✨Tip Number 4
Research the company’s growth plans and current projects. Understanding their business model and how data analysis plays a role in their strategy will help you tailor your discussions and show your genuine interest in contributing to their success.
We think you need these skills to ace Data Analyst - Wigan
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your ability to analyse, evaluate, and interpret data, as well as any experience with financial accounting systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your communication skills and explains how you can make technical information easily digestible for colleagues. Mention specific examples of how you've solved business problems using data analysis in the past.
Highlight Technical Skills: In your application, clearly list any technical skills related to data analysis, such as data visualisation tools, programming languages, or statistical software. This will demonstrate your capability to handle large sets of data effectively.
Showcase Problem-Solving Abilities: Include examples in your application that illustrate your problem-solving skills. Describe situations where you've determined patterns and insights from data, and how those insights led to actionable strategies or solutions.
How to prepare for a job interview at Agility Resoucing
✨Understand the Business
Before your interview, take some time to research the company and its growth plans. Understanding their current turnover and future goals will help you tailor your responses and show that you're genuinely interested in being part of their journey.
✨Communicate Clearly
As a Data Analyst, you'll need to convey complex information in an understandable way. Practice explaining technical concepts in simple terms, as this will demonstrate your ability to communicate effectively with colleagues from various backgrounds.
✨Showcase Your Analytical Skills
Prepare examples of past projects where you've successfully analysed data and produced reports. Be ready to discuss how you approached data quality issues and the strategies you used to derive insights from both structured and unstructured data.
✨Ask Insightful Questions
At the end of the interview, don't hesitate to ask questions about the company's data management practices or their expectations for the role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
