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- Tasks: Join a dynamic team to build dashboards and provide data-driven insights.
- Company: Be part of a leading Cross-border Payment business in the rapidly growing Fintech sector.
- Benefits: Enjoy 2 days of remote work and 3 days in a vibrant Central London office.
- Why this job: This is your chance to shape the data function and grow with the company.
- Qualifications: Bachelor's degree in a quantitative field and 4 years of data analyst experience required.
- Other info: Be the first Data Analyst hire, offering immense personal development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
We are working with a leading Cross-border Payment business who are currently looking for an experienced Data Analyst to join their Product & Technology team. You will work closely with the product and tech teams to build dashboards, understand business data needs, and support rollout as the company continues to grow.
This is the first Data Analyst hire for them so there is a lot of scope for personal development and growth within the business as well as establishing a strong data function in a rapidly scaling Fintech.
Responsibilities:
- Provide regular reporting to the Product and Technology Director as required
- Work with Product and Tech teams to understand data needs and provide data-driven insights
- Build dashboards and reports to track business metrics and KPIs
- Support rollout of new products and features
- Communicate effectively with technical and non-technical stakeholders, and support and host discussions within a multidisciplinary team
- Be an advocate for data in the business, share knowledge and support the wider business with adopting data-led decision making
- Ensure data management and governance processes are in place and adhered to for the products and services your teams provide, and define strategies to enable continual improvement of data management practices and compliance with data governance policies.
- Build and review complex data models, ensuring adherence to standards.
- Utilise data integration tools and languages to integrate and store data, and advise teams on best practice.
Competencies & Experience:
- Bachelor\’s degree in a quantitative field (e.g. statistics, mathematics, computer science)
- 4 years of experience as a data analyst
- Strong analytical and problem-solving skills
- Experience with SQL, Excel, and/or Python
- Experience with AWS data related solutions including: Redshift, Glue, Athena, Aurora
2 days WFH/3 days in the office – Central London Office
Space Executive | Data Analyst employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Space Executive | Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Excel, and AWS solutions like Redshift and Glue. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Since this is the first Data Analyst hire, emphasize your ability to build processes from the ground up. Prepare examples of how you've previously established data functions or improved data management practices in past roles.
✨Tip Number 3
Highlight your communication skills, especially your ability to convey complex data insights to both technical and non-technical stakeholders. Consider preparing a brief presentation or case study that demonstrates your approach to data storytelling.
✨Tip Number 4
Research the company’s current products and features, and think about how data analytics can enhance their offerings. Being able to discuss specific ways you can contribute to their growth will show your genuine interest and proactive mindset.
We think you need these skills to ace Space Executive | Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and competencies required for the Data Analyst position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Emphasize your experience with SQL, Excel, Python, and AWS data solutions in your CV and cover letter. Provide specific examples of how you've used these tools to solve problems or improve processes in previous roles.
Showcase Communication Skills: Since the role involves communicating with both technical and non-technical stakeholders, include examples in your application that demonstrate your ability to convey complex data insights clearly and effectively.
Express Enthusiasm for Growth: Mention your eagerness for personal development and your interest in establishing a strong data function within a rapidly scaling Fintech. This shows that you are not only looking for a job but are also invested in the company's future.
How to prepare for a job interview at Space Executive
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to solve problems in previous roles. Highlight your experience with SQL, Excel, and Python, as these are crucial for the position.
✨Understand the Business Context
Research the company and its products thoroughly. Understand their business model and how data analytics can drive decision-making within a fintech environment. This will help you tailor your responses to show that you can provide valuable insights.
✨Prepare for Technical Questions
Expect technical questions related to data modeling, data governance, and the tools mentioned in the job description, such as AWS solutions. Brush up on your knowledge of Redshift, Glue, Athena, and Aurora to demonstrate your expertise.
✨Communicate Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will showcase your ability to bridge the gap between different teams and advocate for data-driven decision-making.
