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We are seeking a highly skilled Data Analyst to join our Financial Services team in London. The ideal candidate will have strong analytical capabilities, hands‑on technical expertise, and the ability to translate complex data into actionable business insights. This role requires close collaboration with cross‑functional teams to support data‑driven decision‑making in a fast‑paced environment.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and business opportunities
- Develop and maintain data pipelines, dashboards, and reports to support stakeholders
- Work with structured and unstructured data across multiple platforms
- Collaborate with business teams to understand requirements and deliver data solutions
- Perform data validation, cleansing, and quality checks to ensure accuracy
- Translate analytical findings into clear insights and recommendations for senior stakeholders
- Support regulatory and financial reporting requirements within the organization
- Continuously improve data processes and analytical methodologies
Required Skills & Experience
- 6–10 years of experience in data analysis within the Financial Services industry
- Strong hands‑on experience with Python, PySpark, and SQL is a MUST
- Experience working with large‑scale data processing and distributed systems like Hadoop.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, or similar)
- Solid understanding of financial data, products, and regulatory environments
- Strong analytical thinking and problem‑solving skills
- Excellent communication skills, with the ability to present insights to non‑technical stakeholders
Preferred Qualifications
- Experience with cloud platforms (e.g., AWS, Azure, or GCP)
- Familiarity with data warehousing and ETL processes
- Exposure to machine learning or advanced analytics techniques is a plus
Key Attributes
- Analytical mindset with attention to detail
- Ability to work independently and within a team
- Proactive and results‑driven approach
If you are passionate about leveraging data to drive financial insights and business performance, we would love to hear from you.
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Contact Detail:
Apexon Recruiting Team
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 analytical capabilities and any relevant projects you've worked on, especially those involving Python, SQL, or data visualisation tools.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our Financial Services team. Share specific examples of how you've turned complex data into actionable insights and how you can contribute to our mission at Apexon.
Showcase Your Technical Skills: Don’t shy away from listing your technical expertise! Make sure to mention your hands-on experience with data processing tools like Hadoop and your proficiency in Python and SQL. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!