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- Tasks: Use data analysis to uncover insights and solve business challenges.
- Company: Join a leading payments company with a dynamic and curious culture.
- Benefits: Competitive salary, career growth, and opportunities to work on impactful projects.
- Why this job: Make a real difference by analysing data that drives business success.
- Qualifications: Bachelor's degree in relevant field and strong skills in SQL and Python.
- Other info: Collaborative team environment with a focus on innovation and creativity.
The predicted salary is between 28800 - 48000 £ per year.
Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We are looking for an experienced Statistician-Data Analyst to join our ever-evolving Fraudsight team and help us unleash the potential of every business.
What you'll own as the Statistician-Data Analyst:
- Use predictive modeling, statistics, trend analysis, and other data analysis techniques to identify and analyze relevant data from internal and external sources.
- Assist business analysts in discovering patterns and relationships within data sets.
- Determine and apply relevant quantitative methods to solve business challenges.
- Collaborate proactively and effectively with internal groups across the organization.
- Share knowledge and best practices with other members of the analytics team.
- Evaluate and enhance internal tools and processes for improved efficiency and effectiveness.
- Support projects including testing strategy development for marketing initiatives, product lifecycle decision support, product utilization analysis, and fraud detection.
What you'll bring:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field; or an equivalent combination of education, training, and work experience.
- Strong understanding of internal business segments and stakeholder needs.
- Experience with relational database structures, research methods, and sampling techniques.
- Proficient in working with large-scale business data sets.
- Strong skills in SQL and Python, added bonus if you have experience with R.
About the team:
To learn more about our winning teams, check out our world-class teams that own it every day.
What makes a Worldpayer:
It’s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open and winning and failing as one.
Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
Statistician-Data Analyst I in Gateshead employer: Worldpay
Contact Detail:
Worldpay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician-Data Analyst I in Gateshead
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and statistics. We recommend using the STAR method to structure your answers – it’ll help you showcase your skills effectively!
✨Tip Number 3
Show off your skills with a portfolio! Create a few projects that highlight your experience with SQL, Python, and data analysis techniques. This will give you an edge and demonstrate your hands-on abilities.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Statistician-Data Analyst I in Gateshead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Statistician-Data Analyst role. Highlight your proficiency in SQL and Python, and any relevant projects you've worked on that showcase your analytical skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our Fraudsight team. Share specific examples of how you've used predictive modelling or trend analysis in past roles.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to tackle business challenges using quantitative methods. We love seeing how you've approached complex problems and what solutions you implemented.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Worldpay
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills and be ready to discuss specific projects where you've used these tools to analyse data or solve problems.
✨Understand the Business Context
Familiarise yourself with the company's internal business segments and stakeholder needs. Be prepared to discuss how your analytical skills can directly impact their operations and contribute to solving real business challenges.
✨Showcase Your Predictive Modelling Skills
Be ready to talk about your experience with predictive modelling and trend analysis. Bring examples of how you've applied these techniques in past roles to identify patterns or improve processes, especially in fraud detection or marketing initiatives.
✨Collaborative Mindset
Highlight your ability to work effectively with cross-functional teams. Share examples of how you've collaborated with others to share knowledge or enhance internal tools, demonstrating that you can thrive in a dynamic environment like theirs.