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- Tasks: Generate insights and create reports to support global teams in a dynamic payments company.
- Company: Join a leading global payments company with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights in a fast-paced environment.
- Qualifications: Experience with SQL, Snowflake, Excel, and knowledge of card payment services preferred.
- Other info: Collaborative team culture with a focus on personal development and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Business Data Analyst to join a global payments company where you will be responsible for generating insight analysis and reporting packs/presentations in support of GMT teams.
Tasks include:
- Review and cleanup existing Excel documents
- Create new analysis and reporting templates
- Extraction and Analysis of SalesForce data and create PowerPoint presentations
Skills Required:
- SQL
- Snowflake
- Excel
- Knowledge of Card Payments services preferred
Business Data Analyst employer: psd group
Contact Detail:
psd group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analysis work, especially with Excel and PowerPoint. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Snowflake. Be ready to discuss how you've used these tools in past projects. Confidence in your technical skills can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Snowflake, and Excel. We want to see how your skills align with the role of a Business Data Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive decisions or improve processes. We’re looking for someone who can generate insights, so let us know how you’ve done this in the past!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at psd group
✨Know Your Data Tools
Make sure you brush up on your SQL and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in generating insights or creating reports. Practising some common SQL queries can really help you feel more confident.
✨Showcase Your Presentation Skills
Since you'll be creating PowerPoint presentations, it’s a good idea to prepare a mini presentation on a relevant topic. This will not only demonstrate your analytical skills but also your ability to communicate complex data effectively. Keep it concise and visually appealing!
✨Understand the Business Context
Familiarise yourself with the payments industry and the specific challenges companies face. Being able to discuss how your analysis can impact business decisions will show that you’re not just a data whiz, but also a strategic thinker who understands the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Think about past experiences where you had to clean up data or create new reporting templates. Be ready to explain your thought process and the steps you took to achieve successful outcomes.
