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For Companies At a Glance
- Tasks: Analyse data to uncover insights and support decision-making across various business areas.
- Company: Join PayPoint, a forward-thinking company with a focus on inclusivity and innovation.
- Benefits: Enjoy 25 days holiday, gym access, and a range of discounts and perks.
- Why this job: Make a real impact by shaping customer experiences through data analysis.
- Qualifications: Experience with data visualisation tools and strong analytical skills required.
- Other info: Hybrid working model with excellent career progression opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Join Our Team as a Data Analyst at PayPoint. PayPoint is seeking a talented individual to join our team and play a crucial role in understanding customer behaviour, product performance, and retailer trends across all our products and business areas. The team works in a hybrid model, 2 days per week onsite at our Welwyn Garden City office.
Responsibilities
- Building fully automated reports to provide valuable insights to stakeholders and support decision-making.
- Tracking key performance indicators (KPIs) across the business to ensure effective monitoring and analysis.
- Collaborating with stakeholders and the Business Intelligence team to identify improvement opportunities and propose data-driven solutions.
- Developing dynamic reporting that effectively communicates how our customers or clients interact with our business.
- Evaluating the effectiveness of data sources and data-gathering techniques to enhance analysis and reporting.
- Staying up-to-date with the latest technology, techniques, and methods in data analysis.
Qualifications
What would we like from you?
- Expertise in Data Visualisation tools such as Power BI, Tableau, etc.
- Proficiency in data manipulation and programming in SQL.
- Excellent communication and presentation skills.
- Analytical mindset with excellent problem-solving skills.
- Ability to understand business requirements and effectively communicate results.
- Strong teamworking skills and a collaborative approach.
- Attention to detail and a passion for prioritising customer needs.
- A positive can-do attitude.
It would be great if you already have…
- Salesforce reporting experience.
- Understanding of ETL processes.
- Knowledge of customer segmentation techniques and predictive analytics.
- Experience in campaign and impact analysis.
- Knowledge of best practices within SQL and Statistical Programming Languages (Python/R).
Working pattern
Please note this role is Hybrid, 2 days on site at our Welwyn Garden City office and 3 working from home.
Benefits
- Holiday purchase scheme, with 25 days holiday plus bank holidays.
- On-site gym (free) and nationwide corporate rate gym membership.
- Online benefits portal offering discounts on shopping and holidays.
- Love2Shop Everyday Benefits Card.
- Contributory company pension scheme.
- Progression and Development.
- Private medical insurance and life assurance (with option to purchase additional cover).
- Additional benefits available at a discounted rate.
- Cycle2Work scheme
- Electric Car Scheme
At PayPoint, we\\\’re committed to creating an inclusive culture where everyone can thrive and feel a sense of belonging. PayPoint is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Join us in shaping the future of technology at PayPoint. Apply today and embark on an exciting journey with us!
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Data Analyst employer: PayPoint Group
Contact Detail:
PayPoint Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at PayPoint on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data visualisation skills. Be ready to discuss how you've used tools like Power BI or Tableau in past projects. We want to see your passion for data!
✨Tip Number 3
Show off your analytical mindset! During interviews, share specific examples of how you've tackled problems with data-driven solutions. We love hearing about your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team at PayPoint.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data visualisation tools like Power BI or Tableau, and don’t forget to mention your SQL skills. We want to see how your background aligns with what we’re looking for!
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 you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your analytical mindset.
Show Off Your Communication Skills: As a Data Analyst, you’ll need to communicate insights effectively. In your application, demonstrate your communication skills by being clear and concise. Use bullet points where necessary to make your key achievements stand out!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at PayPoint Group
✨Know Your Data Tools
Make sure you brush up on your skills with data visualisation tools like Power BI and Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical skills and problem-solving abilities. Think of specific situations where you identified trends or insights from data that led to actionable outcomes. This will demonstrate your capability to contribute effectively to the team.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present findings during the interview, so being able to articulate your thoughts clearly will set you apart.
✨Understand the Business Context
Familiarise yourself with PayPoint's products and services. Understanding their business model and customer behaviour will help you tailor your responses and show that you're genuinely interested in contributing to their success.
