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For Companies At a Glance
- Tasks: Analyze data, uncover insights, and support decision-making across departments.
- Company: Join a top-notch data analytics team at Rapyd, a leader in global payment solutions.
- Benefits: Work with cutting-edge technologies and tools, plus opportunities for global growth.
- Why this job: Be part of a dynamic team that drives business growth through data insights.
- Qualifications: 3+ years as a Data Analyst, strong SQL skills, and proficiency in Python required.
- Other info: Experience with BI tools like Looker is a plus; strong communication skills are essential.
The predicted salary is between 28800 - 42000 £ per year.
We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team. In this role, you will collaborate closely with various departments, providing invaluable support in analyzing data, uncovering insights, and helping to drive data-informed decision-making across the organization. You will work with the latest technologies and the best tools available in the data world., * Proactively provide insights that will drive business growth.
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Design, develop and manage business intelligence, statistical, and other advanced analyses projects end to end.
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Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis while using new approaches of data analytics.
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Design, develop, and support dashboards, information systems databases, and reporting tools for operational and business needs. Design and enforce access control for all data across the different systems.
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Review and analyze existing functionality for areas of improvement.
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3+ years of professional work experience as a Product / Business / Data Analyst
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High proficiency in SQL and experience in querying large and complex data sets – a must
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Experienced with BI and data visualization tools – a must (Looker is a plus)
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Proficiency in Python for data analysis
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Manage multiple tasks at a time in a fast-paced environment
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Exceptional ability to understand data and to transform it into insights
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Team player with strong storytelling skills
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Strong communication skills and fluent English
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Data Analyst employer: Rapyd
Contact Detail:
Rapyd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the latest data analytics tools and technologies. Since we work with cutting-edge tools, showcasing your experience with BI and data visualization tools, especially Looker, can set you apart from other candidates.
✨Tip Number 2
Highlight your ability to manage multiple data initiatives simultaneously. In our fast-paced environment, demonstrating your experience in juggling various projects will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare to discuss specific examples of how you've transformed complex data into actionable insights. We value strong storytelling skills, so being able to articulate your thought process and impact will be crucial.
✨Tip Number 4
Brush up on your SQL and Python skills. Since proficiency in these areas is a must for this role, being able to demonstrate your technical expertise during discussions will greatly enhance your chances of landing the job.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, especially your proficiency in SQL and any experience with BI and data visualization tools. Use specific examples that demonstrate your ability to analyze data and provide insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your skills align with the job requirements. Mention your experience with Python and your ability to manage multiple tasks in a fast-paced environment.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe the challenges you faced, the solutions you implemented, and the impact of your work on business growth.
Highlight Communication Skills: Since strong communication skills are essential for this role, emphasize your ability to convey complex data insights clearly. Provide examples of how you've successfully communicated findings to non-technical stakeholders.
How to prepare for a job interview at Rapyd
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to drive business decisions in your previous roles. Highlight your experience with SQL and any BI tools you've worked with, especially Looker.
✨Demonstrate Your Technical Proficiency
Since proficiency in SQL and Python is crucial for this role, be ready to answer technical questions or even solve problems on the spot. Brush up on your coding skills and be familiar with querying large datasets.
✨Communicate Clearly and Effectively
Strong communication skills are essential. Practice explaining complex data insights in a simple way, as you will need to collaborate with various departments and present your findings clearly.
✨Prepare for Behavioral Questions
Expect questions about how you manage multiple tasks in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your problem-solving abilities.
