Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Senior Data Analyst, focusing on data analysis and automation.
- Company: Work with a leading investment bank in London or Belfast, renowned for its financial services.
- Benefits: Enjoy flexible working with 3 days on-site and competitive perks.
- Why this job: Make an impact by delivering data-driven solutions in a dynamic, collaborative environment.
- Qualifications: Must have experience in wholesale payments, Python, Tableau, and SQL.
- Other info: This role is inside IR35, ensuring compliance and security.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, with expertise in Python scripting, Tableau, and SQL. This role requires a deep understanding of data lineage and the ability to work with complex datasets.
Key Responsibilities:
- Develop and maintain Python scripts for data analysis and automation.
- Create and manage Tableau dashboards to visualize data insights.
- Write and optimize SQL queries to extract and manipulate data.
- Ensure data integrity and accuracy through thorough data lineage tracking.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Utilize advanced Excel skills, including pivot tables, to analyze and present data.
- Provide insights and recommendations based on data analysis to support business decisions.
Required Experience:
- Experience in markets payments, wholesale payments, or related fields (SWIFT etc).
- Familiarity with payments operations and processes.
Senior Data Analyst - Tableau, Python, Wholesale Payments employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Tableau, Python, Wholesale Payments
✨Tip Number 1
Network with professionals in the wholesale payments sector. Attend industry events or webinars to connect with potential colleagues and learn more about the specific challenges they face, which can give you an edge in interviews.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data analysis, particularly in Python and Tableau. Being able to discuss recent developments or tools during your conversations can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss your experience with complex datasets and data lineage tracking. Think of specific examples where you've successfully managed data integrity and how that has impacted business decisions.
✨Tip Number 4
Showcase your ability to collaborate with cross-functional teams. Be ready to share instances where you've worked with different departments to deliver data-driven solutions, as this is crucial for the role.
We think you need these skills to ace Senior Data Analyst - Tableau, Python, Wholesale Payments
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, Python scripting, Tableau, and SQL. Emphasise any previous roles related to wholesale payments or similar fields to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the wholesale payments sector. Mention specific projects where you've used Python and Tableau to drive insights, demonstrating your ability to deliver data-driven solutions.
Highlight Relevant Skills: In your application, clearly outline your skills in data lineage tracking, SQL query optimisation, and advanced Excel techniques. Use examples from your past work to illustrate how these skills have contributed to successful outcomes.
Showcase Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've collaborated with others in previous positions. Highlight any successful projects where teamwork led to effective data solutions.
How to prepare for a job interview at Harvey Nash Group
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python, Tableau, and SQL during the interview. Prepare examples of how you've used these tools in previous roles, especially in relation to data analysis and automation.
✨Understand Wholesale Payments
Since the role specifically requires experience in wholesale payments, brush up on your knowledge of this area. Be ready to discuss relevant experiences and how they relate to the job you're applying for.
✨Prepare for Data Lineage Questions
Expect questions about data lineage and integrity. Be prepared to explain how you ensure data accuracy and how you track data lineage in your previous projects.
✨Demonstrate Collaboration Skills
This role involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated with others to deliver data-driven solutions. Highlight your communication skills and ability to understand business requirements.
