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For Companies At a Glance
- Tasks: Analyse data to produce insights and reports for senior leadership in a dynamic manufacturing environment.
- Company: Award-winning manufacturing company focused on quality and data-driven decisions.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Join a team that values data and innovation to drive business success.
- Qualifications: Experience in data analysis, proficiency in Excel, SQL, Power BI or Tableau.
- Other info: Collaborative culture with a focus on continuous improvement and operational excellence.
The predicted salary is between 30000 - 40000 £ per year.
Job Description
CV Technical are partnered with an award winning manufacturing committed to delivering high-quality products and data-driven business insights to its senior leadership team. With a focus on continuous improvement, operational excellence and cross-department collaboration, they're looking to bring in a talented Data Analyst to support their growth and performance goals.
Key Responsibilities
- Produce regular (monthly) performance reports covering manufacturing & sales for senior leadership.
- Identify, collect and migrate data from a variety of sources.
- Review data, identify trends and generate actionable business insight.
- Manipulate, analyse and interpret complex datasets for departments and the business as a whole.
- Monitor and audit data quality, ensuring accuracy, completeness and integrity.
- Develop dashboards, automated reports and visualisations.
- Work with internal departments to support understanding of the purpose and effectiveness of reviewing and acting on data trends.
- Collaborate with department managers to introduce new data streams for monitoring to ensure efficient business performance.
- Review existing data streams, highlight areas of concern or business improvement opportunities.
- Develop and promote best-practice approaches in how data is delivered, consumed and acted upon.
Key Skills & Experience:
Essential:
- Proven experience in data analysis, reporting or business intelligence, preferably within manufacturing.
- Proficiency with Excel, SQL, Power BI or Tableau)
- Strong ability to interpret complex data sets and extract meaningful business insight.
- Excellent attention to detail and focus on data quality and integrity.
- Effective communicator: able to explain data trends and insights to non-technical stakeholders.
- Comfortable working cross-functionally with department managers and senior leadership.
Desirable:
- Experience in manufacturing or sales operations context.
- Prior experience building dashboards or automated reporting solutions.
- Knowledge of data migration, ETL or data-warehouse concepts.
- Understanding of best practice data governance, data-stream design and monitoring.
📍 Wigan – Hybrid working 3 days per weeks on site
💰 £30,000 – £40,000 DOE + Benefits
Please apply direct via Linkedin.
*Sponsorship is not available nor will it be available in the future for those on temporary visas. Applicants much be within a sensible commuting distance to Wigan to be considered*
Data Analyst employer: CV Technical Ltd
Contact Detail:
CV Technical 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 current employees at the company or similar roles on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We should be ready to discuss how we’ve tackled complex datasets and turned them into actionable insights.
✨Tip Number 3
Show off your tech skills! If you’ve built dashboards or automated reports, bring examples to the interview. We want to demonstrate our proficiency with tools like Excel, SQL, or Power BI.
✨Tip Number 4
Don’t forget to ask questions during the interview! Inquire about their data governance practices or how they collaborate across departments. It shows we’re genuinely interested in their operations.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, reporting, and any relevant tools like Excel or SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've manipulated and interpreted complex datasets. This helps us understand your hands-on experience and how you can contribute to our team.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at CV Technical Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, Power BI, or Tableau. Be ready to discuss how you've used these tools in past roles, especially in a manufacturing context. Having specific examples of how you've manipulated and analysed data will really impress the interviewers.
✨Understand the Business
Familiarise yourself with the company’s products and their operational processes. Knowing how data impacts their performance and decision-making will help you articulate your insights during the interview. Show them that you’re not just a data whiz, but someone who understands the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse trends. Practice explaining your thought process clearly and concisely. This will demonstrate your analytical skills and your ability to communicate complex data insights to non-technical stakeholders.
✨Showcase Your Attention to Detail
Since data quality is crucial, be prepared to discuss how you ensure accuracy and integrity in your work. Share examples of how you've monitored data quality in previous roles and any best practices you’ve developed. This will highlight your commitment to delivering high-quality insights.
