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- Tasks: Analyse data to drive business insights and create impactful reports.
- Company: Join Edenred, a global leader in innovative solutions.
- Benefits: Enjoy competitive salary, hybrid work, and extensive perks.
- Why this job: Make a real impact while growing your skills in a dynamic environment.
- Qualifications: Experience in data analysis, SQL, and Power BI is essential.
- Other info: Diverse and inclusive workplace with endless growth opportunities.
The predicted salary is between 65000 - 65000 £ per year.
Take a step forward and let Edenred surprise you. Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world. We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment. Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognises, recruits and develops all talents and singularities. We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
Objective of the Function/role
The Data Analyst will work collaboratively with business stakeholders, subject matter experts (SMEs), engineering, and product teams to address data-related challenges and deliver tangible business value. Key responsibilities include:
- Engaging with stakeholders, clients, and internal departments to gather and articulate business requirements from a data perspective.
- Creating timely and insightful dashboards and reports to visualise data effectively.
- Conducting exploratory data analyses to uncover trends, patterns, and actionable insights.
- Participating in data quality assurance processes to uphold data accuracy and integrity.
- Staying informed about industry trends and best practices in data analysis and visualisation.
Accountable to Senior Product Manager
Experience & Knowledge
- A qualification in Data Science, Statistics, Mathematics, Computer Science, or a related field is highly advantageous.
- A strong understanding of data analysis concepts and methodologies.
- A minimum of 2 years of experience using Microsoft Power BI.
- Familiarity with Amazon Quick Sight is a plus.
- At least 2 years of experience in SQL development.
Key Working relationships
- Muti-disciplined Product domain teams
- Stakeholders
- Internal and external end-users
- Third-party partners
Key Result Areas
- Deliver analyses and reports that meet the broader business needs, facilitating new product features and showcasing value delivered.
- Ensure that deliverables are operationally supportable, secure, and scalable.
- Drive continuous improvement initiatives across product domains to resolve business data challenges.
Key Tasks
- Serve as the primary point of contact for data analysis within the product team.
- Collaborate with cross-functional product domain teams to:
- Capture and document data analysis requirements.
- Create, manage, and deliver business intelligence reporting and dashboarding solutions using Microsoft Power BI.
- Develop an in-depth understanding of Paytech's data by conducting comprehensive analyses, validating or challenging existing assumptions, and generating new insights.
- Support colleagues in achieving company objectives while fostering a positive collaborative environment.
- Ensure that deliverables are operationally viable, secure, and scalable.
- Drive ongoing enhancements within product domains and effectively address data-related challenges.
Core skills & behaviours
- Analytical mindset with the capacity to evaluate business cases and deliver impactful insights and recommendations.
- Proficiency in Microsoft Power BI is essential; familiarity with other data visualisation tools such as Amazon Quick Sight is beneficial.
- Strong SQL knowledge.
- Ability to manage multiple requests and parallel workstreams efficiently.
- Eagerness to learn and develop skills in data analysis.
- Excellent organisational skills with the ability to prioritise tasks effectively.
- Capable of working independently while adhering to set objectives and exercising autonomy.
- Highly organised, with experience in an agile working environment.
- Strong attention to detail, with the ability to convey information concisely.
- Proactive problem-solving approach and a willingness to take the initiative.
- Comfortable serving as a liaison between technical and business teams.
- Awareness of data protection and consumer regulations.
- Experience in card/banking payments is advantageous.
Additional Information
Paytech currently operates a hybrid working model between home and office working. The role may occasionally require travel between offices in the UK, Europe (potentially 1-3 days), International travel may exceptionally be required, (3-5 days in duration).
What you will get:
- 25 days annual leave plus Bank Holidays
- Hybrid working environment (min. 3 days per week in the office)
- Pension Scheme – employer 6% with minimum employee contribution 3%
- Medical & international travel cover (leisure and action sports)
- Income protection
- Life insurance (4x salary)
- Wellbeing Employee Assistance Program (extended access to family members)
- Holiday trading scheme
- Season ticket loan
- Cycle to Work scheme
- Employee discount shopping platform
- Employee referral bonus scheme
- Digital learning platform
- Complimentary fruit and other ‘in office’ snacks & refreshments
- Volunteering programme
- Social events
We are a subsidiary of the Edenred group and leaders in prepaid solutions including banking, virtual cards, debit, credit, and prepaid processing. As an Edenred PayTech employee you will get the support and structure that you need to enjoy your work and develop your career while doing what you love and making a difference in a fast-paced and innovative business.
Diversity: Edenred UK and PayTech are proud to be an equal opportunity employer. We will not discriminate against any applicant or employee based on age, race, colour, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information, or any other basis prohibited by applicable country or local laws.
Apply now and Vibe with Us! We are looking for new employees who will embrace the Edenred adventure with the same intensity and passion as we do. They will feel right at ease at Edenred because they like to push back the boundaries, try new things, constantly improve, win and grow. We need women and men who share our ambition, who are looking to perform, challenge us and themselves to move forward every day. We are looking for women and men who want to vibe with us.
Data Analyst in Swindon employer: Edenred Italia S.r.l.
Contact Detail:
Edenred Italia S.r.l. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Swindon
✨Tip Number 1
Network like a pro! Reach out to current employees at Edenred on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for your interview by brushing up on your data analysis skills. Be ready to discuss your experience with Microsoft Power BI and SQL, and think of examples where you've used these tools to solve real business problems.
✨Tip Number 3
Show your passion for data! During interviews, express your eagerness to learn and grow in the field. Share any personal projects or analyses you've done that demonstrate your analytical mindset and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Edenred team. Let’s get you vibing with us!
We think you need these skills to ace Data Analyst in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your proficiency in Microsoft Power BI and SQL, as these are key for us at Edenred.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the opportunity at Edenred. Share specific examples of how you've tackled data challenges in the past and how you can contribute to our team.
Showcase Your Analytical Skills: In your application, demonstrate your analytical mindset. Include any relevant projects or experiences where you've delivered impactful insights or reports, as this is crucial for the role.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining the Edenred adventure!
How to prepare for a job interview at Edenred Italia S.r.l.
✨Know Your Data Tools
Make sure you brush up on your Microsoft Power BI skills before the interview. Be ready to discuss how you've used it in past projects, and maybe even prepare a mini demo or example of a dashboard you've created. This will show your practical experience and understanding of data visualisation.
✨Understand the Business Context
Research Edenred and its PayTech division thoroughly. Understand their products and how data analysis plays a role in improving their services. Being able to connect your skills to their business needs will demonstrate your genuine interest and help you stand out.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data challenges. Practice articulating your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical mindset and problem-solving abilities.
✨Show Your Collaborative Spirit
Edenred values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve engaged with stakeholders to gather requirements or how you’ve contributed to a positive team environment. This will highlight your ability to thrive in a collaborative setting.