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For Companies At a Glance
- Tasks: Transform data into insights, build dashboards, and support teams with smart analytics.
- Company: Join Vintage Cash Cow's innovative Technology team driving re-commerce advancements.
- Benefits: Full-time role with opportunities for growth and collaboration across departments.
- Why this job: Make a real impact by enabling self-service analytics and improving business performance.
- Qualifications: Solid SQL skills, experience with BI tools, and a curious mindset.
- Other info: Dynamic environment with hands-on experience and excellent career development opportunities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Department: Technology & Data
Employment Type: Full Time
Location: Trimble Offices, Morley
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
Skills, Knowledge and Expertise:
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 Morley 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 Morley
✨Tip Number 1
Get to know the company inside out! Research Vintage Cash Cow and their Technology team. Understanding their values and projects will help you tailor your conversations and show that you're genuinely interested in being part of their innovative journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which can significantly boost your chances of landing that Data Analyst role.
✨Tip Number 3
Prepare for the interview by practising common data-related questions. Brush up on your SQL skills and be ready to discuss how you've used data to solve real-world problems. Show them you’re not just a number cruncher but someone who can drive insights and improvements!
✨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 you’re proactive and serious about joining the team at Vintage Cash Cow.
We think you need these skills to ace Data Analyst in Morley
Some tips for your application 🫡
Show Your Data Passion: When 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 insight-hungry mindset!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that align with our job description. Mention your SQL prowess and any BI tools you’ve worked with, like Sigma or Power BI, to catch our eye.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. We appreciate clarity as much as we appreciate data!
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. Plus, it’s super easy to do!
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 prepared to discuss how you've used SQL in past projects, and maybe even solve a few queries on the spot. This role is all about data, so showing confidence in your SQL abilities will definitely impress.
✨Familiarise Yourself with BI Tools
Since the job mentions Sigma, it’s a good idea to get acquainted with it or similar BI tools like Power BI or Looker. If you can, create a sample dashboard or two to showcase your skills. Being able to talk about your hands-on experience with these tools will set you apart from other candidates.
✨Understand the Business Context
This role requires a curious mindset, so do some homework on Vintage Cash Cow and its operations. Understand their business model and think about how data can drive decisions. Being able to connect your analytical skills to real-world business problems will show that you’re not just a number cruncher but a strategic thinker.
✨Prepare for Collaboration Questions
You’ll be working closely with various teams, so expect questions about collaboration. Think of examples where you’ve successfully worked across departments to gather requirements or improve processes. Highlighting your ability to communicate effectively and train others on BI tools will demonstrate your value as a team player.
