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- Tasks: Analyse data to deliver insights and support various teams in a fast-paced e-commerce environment.
- Company: Fast-growing e-commerce business with a dynamic data team.
- Benefits: Generous salary, 25 days holiday, flexible hours, and free on-site parking.
- Why this job: Make a real impact by transforming data into actionable insights and improving business processes.
- Qualifications: Experience in Power BI, advanced Excel, and T-SQL; familiarity with e-commerce systems is a plus.
- Other info: Join a collaborative team in modern offices with excellent career growth opportunities.
The predicted salary is between 35000 - 45000 £ per year.
My client is a fast-growing e-commerce business, rapidly expanding.
The role: Data Analyst
Skillset:
- Must haves:
- Power BI report development (including DAX, Power Query, Parameters)
- Semantic model development
- Advanced Excel skills, including Data Connections, Power Query, and Power Pivot
- Intermediate or advanced T-SQL
- Debugging and troubleshooting skills
- Experience with Sage 200, Linnworks, Peoplevox or Google Analytics 4 (GA4) is beneficial, though transferable skills from similar systems are equally valued.
- Microsoft Fabric or other cloud data services incorporating data lake, data warehouse, data pipelines, analytics & business intelligence
- Power BI calculation groups, bookmarks, semantic model incremental refresh
- Tabular Editor
- Excel dynamic array functions
- Python, Pandas, NumPy, Matplotlib
- Sage 200
- Linnworks
- Peoplevox
- Google Analytics (GA4)
Working arrangements:
5 days a week, onsite, Trafford Park, Salford, Manchester.
They are looking for an experienced Data Analyst to join their growing data team and make a real impact. You’ll have experience gathering and manipulating data from multiple systems to deliver meaningful business insights, and be confident in challenging requirements to refine briefs. As a guardian of data, you’ll take a proactive approach to maintaining and improving data security. You’ll support teams across e-commerce, finance, buying, merchandising and warehousing by handling ad-hoc analysis and data requests, while contributing to projects that improve automation, data integrity and reporting. This is a varied role extending beyond reporting, including system configuration, bulk data operations and supporting some manual processes.
Excellent benefits:
- Generous salary
- Enhanced annual holiday allowance of 25 days + 8 bank holidays
- Choice of start and finish times
- Free on-site parking
- Modern offices
If you are interested in this role, please apply today.
Data Analyst in Manchester employer: Ascent People Ltd
Contact Detail:
Ascent People Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly!
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and showcasing your skills with real examples. Use your Power BI and Excel expertise to demonstrate how you've solved problems in the past – it’s all about showing what you can bring to the table!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can keep you on their radar and show that you’re genuinely keen on the role.
✨Tip Number 4
Make sure your online presence is sharp! Update your LinkedIn profile with relevant skills and projects, and consider sharing insights or articles related to data analysis. This can help you stand out as a knowledgeable candidate when recruiters are searching for talent.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Analyst role. Use keywords from the job description, like Power BI, T-SQL, and data manipulation, to show we’re on the same page.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you’ve used your analytical skills in previous roles. Let us know why you’re excited about joining our team and how you can contribute.
Show Off Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with tools like Excel, Power Query, and any relevant systems like Sage 200 or Google Analytics. We love seeing how you’ve tackled data challenges.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Ascent People Ltd
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, especially DAX and Power Query. Brush up on your advanced Excel skills too, as they’ll likely ask you to demonstrate your ability to manipulate data effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've debugged and troubleshot issues in the past. Be ready to discuss specific scenarios where you’ve gathered data from multiple systems to deliver insights, as this is key for the role.
✨Familiarise Yourself with Relevant Systems
If you have experience with Sage 200, Linnworks, or Google Analytics 4, make sure to highlight that. Even if you haven’t used these exact systems, think about similar tools you’ve worked with and how those experiences translate.
✨Prepare Questions That Matter
Think about what you want to know regarding the company’s data practices and team dynamics. Asking insightful questions shows your genuine interest in the role and helps you assess if it’s the right fit for you.