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- Tasks: Lead revenue analytics and influence pricing strategies across product categories.
- Company: Dynamic retail company based in Leeds with a data-driven culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on pricing strategies and support growth decisions.
- Qualifications: Expert-level SQL skills and experience with BI tools like Sigma and Power BI.
- Other info: Join a data-savvy team focused on optimisation and operational excellence.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic retail company based in Leeds is seeking a Senior Data Analyst to own revenue analytics across various product categories. The ideal candidate will possess expert-level SQL skills, experience with BI tools such as Sigma and Power BI, and a strong understanding of modern data platforms. In this role, you will directly influence pricing strategies and support growth decisions through high-quality analysis. Join a data-savvy team to help enhance operational decisions and foster a culture of data-led optimisation.
Revenue Analytics Lead: Pricing, Forecasting & Growth in Leeds employer: Vintage Cash Cow
Contact Detail:
Vintage Cash Cow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Revenue Analytics Lead: Pricing, Forecasting & Growth in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in data analytics.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and BI dashboards. We all know that actions speak louder than words, so let your work do the talking when you’re in interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of pricing strategies and growth analytics. We recommend practising with a friend or using mock interviews to build your confidence.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Revenue Analytics Lead: Pricing, Forecasting & Growth in Leeds
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your expert-level SQL skills in your application. We want to see how you can manipulate and analyse data to drive revenue decisions, so don’t hold back on showcasing your experience!
BI Tools are Your Best Friends: If you've got experience with BI tools like Sigma and Power BI, let us know! We’re keen to see how you’ve used these tools to influence pricing strategies and support growth decisions in your previous roles.
Data-Driven Mindset: We’re all about data-led optimisation here at StudySmarter. In your application, share examples of how you’ve used data to enhance operational decisions and foster a culture of analytics in your past experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Vintage Cash Cow
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL to drive insights in your previous roles. Practising real-world scenarios can help you articulate your thought process clearly.
✨Showcase Your BI Tool Experience
Familiarise yourself with Sigma and Power BI, as these are key tools for the role. Bring examples of dashboards or reports you've created using these platforms. This will demonstrate your hands-on experience and ability to translate data into actionable insights.
✨Understand Pricing Strategies
Research common pricing strategies and be ready to discuss how data analytics can influence these decisions. Think about how you've contributed to pricing or growth strategies in the past and be prepared to share specific examples during the interview.
✨Emphasise Data-Driven Decision Making
Highlight your understanding of modern data platforms and how they support operational decisions. Be ready to discuss how you've fostered a culture of data-led optimisation in your previous roles, as this aligns perfectly with what the company is looking for.
