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- Tasks: Transform data into insights, build reports, and track performance indicators.
- Company: Join PayPoint, a leader in understanding customer behaviour and product performance.
- Benefits: Enjoy 25 days holiday, gym access, and a contributory pension scheme.
- Why this job: Make a real impact in a supportive, inclusive culture while developing your skills.
- Qualifications: Experience with data visualisation tools, SQL, and strong analytical skills required.
- Other info: Hybrid work model with 2 days onsite at our Welwyn Garden City office.
The predicted salary is between 28800 - 43200 £ per year.
Join Our Team as a Data Analyst at PayPoint
Are you ready to embark on an exciting journey where you\’ll turn data into actionable insights? 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 work in a Hybrid model, 2 days per week onsite at our Welwyn Garden City office.
Why choose PayPoint?
At PayPoint, we\’re committed to fostering an inclusive culture where everyone can thrive and contribute to our success. As a Data Analyst, you\’ll have the opportunity to make a real impact by translating data into meaningful insights that drive decision-making processes and support business growth.
What will you be doing?
Your role will involve a variety of responsibilities, including:
- 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.
Join Our Team as a Data Analyst at PayPoint
Are you ready to embark on an exciting journey where you\’ll turn data into actionable insights? 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 work in a Hybrid model, 2 days per week onsite at our Welwyn Garden City office.
Why choose PayPoint?
At PayPoint, we\’re committed to fostering an inclusive culture where everyone can thrive and contribute to our success. As a Data Analyst, you\’ll have the opportunity to make a real impact by translating data into meaningful insights that drive decision-making processes and support business growth.
What will you be doing?
Your role will involve a variety of responsibilities, including:
- 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.
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).
What can we do for you
We offer a range of benefits, including:
- 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 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!
Description
Description 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.
Key Responsibilities
Key Responsibilities Building fully automated reports to provide valuable insights to stakeholders and support decision-making.
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Data Analyst employer: PayPoint plc.
Contact Detail:
PayPoint plc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data visualisation tools mentioned in the job description, like Power BI and Tableau. Consider creating a small project or portfolio piece that showcases your skills using these tools to demonstrate your capability during interviews.
✨Tip Number 2
Brush up on your SQL skills, as proficiency in data manipulation is crucial for this role. You could practice by working on sample datasets or contributing to open-source projects that require SQL expertise.
✨Tip Number 3
Network with current or former employees of PayPoint on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Stay updated on the latest trends in data analysis and reporting techniques. Following industry blogs or attending webinars can help you discuss relevant topics during your interview, showcasing your passion and commitment to the field.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role at PayPoint. Focus on your expertise in data visualisation tools, SQL programming, and any experience with automated reporting.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences where you've successfully turned data into actionable insights, and how you can contribute to PayPoint's goals.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to solve problems or improve processes in previous roles. Highlight your analytical mindset and problem-solving abilities, as these are key attributes for the position.
Highlight Team Collaboration: Since the role involves collaboration with stakeholders and the Business Intelligence team, emphasise your teamwork skills. Share instances where you've worked effectively in a team to achieve common goals or deliver successful projects.
How to prepare for a job interview at PayPoint plc.
✨Showcase Your Data Visualisation Skills
Make sure to highlight your expertise in data visualisation tools like Power BI or Tableau during the interview. Prepare examples of reports you've created and how they impacted decision-making, as this aligns perfectly with what PayPoint is looking for.
✨Demonstrate Your Analytical Mindset
Be ready to discuss specific instances where you've solved complex problems using data analysis. PayPoint values an analytical mindset, so share how you approached challenges and the outcomes of your analyses.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice explaining technical concepts in simple terms. Be prepared to discuss how you've collaborated with stakeholders in the past to ensure everyone understands the insights derived from data.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing the latest technologies and methods in data analysis that you're familiar with. This demonstrates your commitment to continuous learning and staying relevant in the industry, which is important to PayPoint.
