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- Tasks: Transform data into actionable insights and build impactful Power BI dashboards.
- Company: Established industrial business with a strong heritage in manufacturing.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a greenfield project to shape a modern data platform and influence key decisions.
- Qualifications: Experience as a Data Analyst with advanced Power BI and SQL skills.
- Other info: Inclusive workplace that values diverse backgrounds and analytical thinking.
The predicted salary is between 65000 - 75000 £ per year.
Salary: £65,000 – £75,000
Location: Wigan (Hybrid – 2 days home / 3 days office; flexible for candidates further afield)
Sellick Partnership are proud to be partnered with a well-established industrial business who have a strong heritage in manufacturing. My client is now investing heavily in professionalising its data capability and they are looking for a Data Analyst to join the team. This is a greenfield opportunity to help design and build the foundations of a modern data platform that directly supports board-level decision making. This is a newly created role designed to turn data into clear, actionable insight for the business. You’ll work on top of the data platform being built, focusing on reporting, analysis, and decision support for senior stakeholders. The technology stack is Microsoft-led, with an Azure environment, Azure Data Lake, Power BI, and Power Apps, alongside a bespoke operational system and an ERP that need to be integrated.
Key Responsibilities
- Build and maintain Power BI dashboards and reports for Board and PE stakeholders, Finance and operations teams.
- Analyse large volumes of transactional data to identify trends, risks, and opportunities for efficiency.
- Work with the Data Engineer to define data models, reporting requirements, business definitions, and metrics.
- Support the development of self-service reporting.
- Use Power Apps where appropriate to support data capture or operational workflows.
- Help the business understand and trust its data through clear storytelling and insight.
- Respond to ad-hoc analysis requests from senior stakeholders.
Skills & Experience
- Strong experience as a Data Analyst in a commercial environment.
- Advanced skills in Power BI.
- Solid SQL and data interrogation skills.
- Experience working with large, high-volume datasets.
- Comfortable engaging with non-technical stakeholders.
- Able to work in a fast-moving, practical, industrial business.
- Sector background not important — attitude and analytical thinking are key.
We will be reviewing CVs on a daily basis and shortlisted candidates will be contacted in due course. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances.
Data Analyst in Wigan employer: Sellick Partnership
Contact Detail:
Sellick Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Wigan
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 Power BI dashboards and any data analysis projects you've worked on. 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 analyst questions and scenarios. Think about how you can demonstrate your analytical thinking and problem-solving skills with real-life examples.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Analyst in Wigan
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can turn data into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how your skills align with our needs. Don’t forget to mention your ability to engage with non-technical stakeholders – that’s a big plus for us!
Showcase Your Analytical Thinking: In your application, give examples of how you've identified trends, risks, or opportunities in past roles. We love seeing candidates who can think critically and provide clear storytelling through data – so make sure to highlight those experiences!
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 this exciting opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Sellick Partnership
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in analysing large datasets and creating insightful reports.
✨Understand the Business Context
Research the company and its industry. Understand their data needs and how your role as a Data Analyst can help them make better decisions. This will show that you're not just technically skilled but also business-savvy.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Practice explaining your thought process clearly, as this will demonstrate your analytical thinking and ability to communicate with non-technical stakeholders.
✨Showcase Your Storytelling Skills
Be prepared to discuss how you've turned complex data into clear, actionable insights in the past. Use examples that highlight your ability to engage with senior stakeholders and help them trust the data through effective storytelling.