SQL/Excel Data Analytics
Posted 1 day ago by FincSelect
£500 Per day
Inside
Undetermined
London Area, United Kingdom
Summary: The SQL/Excel Data Analytics role at a leading UK challenger bank involves working part-time to assist with model validation and data analytics. The position requires collaboration with the existing team to design, optimize, and maintain SQL queries for data structures and reporting systems. Candidates should possess strong SQL and Excel skills, along with the ability to analyze large datasets and communicate findings effectively. Familiarity with Financial Crime domains is preferred but not mandatory.
Key Responsibilities:
- Assist with model validation and data analytics.
- Collaborate with the existing team on design and optimization of data queries.
- Perform and maintain SQL queries for data structures and reporting systems.
- Analyze large datasets to generate actionable insights.
- Communicate analytical findings to both technical and non-technical stakeholders.
Key Skills:
- Proficiency in SQL for data extraction, transformation, and analysis.
- Strong command of Microsoft Excel, including advanced functions.
- Solid experience in data analysis.
- Attention to detail and accuracy in data handling.
- Ability to communicate findings clearly.
- Familiarity with Financial Crime domains (preferred).
- Demonstrated problem-solving skills.
Salary (Rate): £500 daily
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
SQL/Excel Data Analytics Challenger Bank £500 per day Inside IR35 Part-time 3-5 days per week This leading UK business bank is looking for a Data analytics expert to help with model validation. The role will be to work alongside the existing team to help with the design and optimisation and performing and mantaining SQL queries for data structures and reporting systems.
Your experience:
- Proficiency in SQL for data extraction, transformation, and analysis, including writing complex queries and optimizing performance.
- Strong command of Microsoft Excel, including advanced functions (e.g., VLOOKUP, INDEX/MATCH, PivotTables, data visualization).
- Solid experience in data analysis, with the ability to interpret large datasets and generate actionable insights.
- Attention to detail and accuracy when working with data, ensuring high-quality outputs.
- Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
- (Preferred) Familiarity with Financial Crime (FinCrime) domains, including transaction monitoring, fraud detection, or compliance processes.
- Demonstrated problem-solving skills and a proactive approach to identifying trends, anomalies, and potential risks.