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For Companies At a Glance
- Tasks: Transform data into insights, build dashboards, and support teams with smart analytics.
- Company: Join a forward-thinking tech team at Vintage Cash Cow.
- Benefits: Full-time role with opportunities for growth and collaboration.
- Why this job: Make a real impact in the re-commerce industry with your data skills.
- Qualifications: Solid SQL skills and experience with BI tools required.
- Other info: Dynamic environment with a focus on self-service analytics and innovation.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About the team: Join Vintage Cash Cow's innovative and forward-thinking Technology team as we drive technological and operational advancements across our businesses. Our passionate team leverages cutting-edge technologies and robust data solutions to enhance business performance and shape the future of the re-commerce industry.
About the role: We’re looking for a data-first, insight-hungry Data Analyst to help us evolve our reporting and analytic capabilities. You’ll start by building on a solid foundation of data, and grow your impact by helping teams solve real world problems with smart, scalable insights. This is a hands-on role, you’ll shape dashboards, create new data models and be a go-to partner for business stakeholders. You’ll get to play a key role in making data more self-serve, enabling others to explore and act on insights, with your support.
Getting Started...
- Get to know our BI stack and reporting infrastructure
- Meet key commercial and finance stakeholders and shadow existing reporting processes
- Review existing dashboards, data sources, and user feedback to identify early wins
Establishing Your Impact…
- Build and optimise reports and dashboards in Sigma
- Collaborate with marketing, finance, and ops to translate business needs into data outputs
- Begin supporting teams with SQL-powered insights and reporting improvements
Driving Excellence…
- Own and evolve core dashboards and reporting pipelines
- Champion self-service BI through stakeholder training and enablement
- Identify data gaps and lead initiatives to improve quality, accessibility, and usability
Key Goals & Objectives:
- Deliver accurate, insightful, and scalable reporting across the business
- Improve the quality, speed, and accessibility of our internal data
- Support decision-making through analysis and close collaboration with teams
- Enable a culture of self-service analytics through training and tools
Key Responsibilities:
- Design and maintain dashboards in Sigma
- Translate business requirements into data solutions, from ad hoc queries to scalable reports
- Write robust SQL to support reporting, modelling, and transformation tasks
- Act as a connector between business users and the core data team
- Train and support colleagues on BI tools and data best practices
- Identify inefficiencies in existing reporting and proactively offer improvements
- Support experimentation with natural language querying and other accessibility features
- Partner especially closely with Finance and Commercial teams to drive meaningful analysis
Essential Skills & Experience:
- Solid SQL skills and experience building data models from scratch
- Proficiency in BI tools (ideally Sigma, but Power BI, Looker or similar also great)
- Confident working across departments to gather requirements and iterate on outputs
- Background in Business, Finance, or Data Analyst roles (or similar analytical fields)
- Curious, commercial mindset — you want to understand the “why” behind the data
Desirable (Nice to Have):
- Exposure to natural language querying tools or approaches
- Previous experience improving or designing self-serve analytics environments
- Hands-on knowledge of modern data stacks and modelling approaches
Data Analyst in Leeds employer: Vintage Cash Cow
Contact Detail:
Vintage Cash Cow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Leeds
✨Tip Number 1
Get familiar with our BI stack and reporting infrastructure before your interview. This shows us you're genuinely interested and ready to hit the ground running. Plus, it’ll help you ask insightful questions that can impress the hiring team!
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Building connections can give you insider info about our culture and the role, plus it might just get your foot in the door.
✨Tip Number 3
Prepare to showcase your SQL skills during the interview. We love seeing candidates who can demonstrate their ability to write robust queries and build data models. Bring examples of your past work to discuss!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our innovative team at Vintage Cash Cow.
We think you need these skills to ace Data Analyst in Leeds
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to solve problems or improve processes. We love seeing that spark!
Tailor Your Application: Make sure to customise your application for the Data Analyst role. Highlight your SQL skills and experience with BI tools like Sigma. We want to see how your background aligns with what we're looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, especially when it comes to your skills and experiences!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Vintage Cash Cow
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL in past projects, and think of specific examples where your queries led to actionable insights. This will show that you can hit the ground running!
✨Familiarise Yourself with BI Tools
Since the role involves working with BI tools like Sigma, it’s a good idea to get comfortable with them. If you have experience with similar tools like Power BI or Looker, be prepared to talk about how you’ve used them to create impactful dashboards and reports.
✨Understand the Business Context
Take some time to research Vintage Cash Cow and its operations. Understanding their business model and how data impacts their decision-making will help you tailor your responses and demonstrate your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or improve existing processes. Think about past experiences where you identified inefficiencies and how you addressed them. This will showcase your analytical mindset and problem-solving skills.
