FinTech Data Analyst: SQL, Dashboards & Ops Insights

chip; Greater London; Hybrid; GBP 34,000 - 45,000; Full time

Benefits offered by this job

Discretionary bonus

Workplace pension

Private medical insurance

Cycle to work scheme

Season ticket loan

Company laptop

Annual training budget

28 days holiday + bank holidays

Job summary

Chip is seeking a data analytics-minded individual to monitor product functionality and deliver data analyses, MI, and operational controls to support product development. You will collaborate with Operations, Compliance, and the Finance Crime data teams to optimise processes and monitor third-party functionality.

Key responsibilities include SQL-based analysis, dashboard reporting, and automating recurring MI tasks using SQL and Python where appropriate.

Qualifications

• Proficiency in SQL.
• Proficient use of Microsoft Excel / Google Sheets.
• Willingness to learn and drive efficiency.
• Numerate with an analytical mind and strong problem-solving skills.
• Meticulous with attention to detail.
• Proactive with our core value “Make it Happen” in mind.
• Fast learning, with the ability to multitask and prioritise workload appropriately.
• Smart, with the ability to find solutions independently.

Responsibilities

• Analyse data using SQL.
• Provide data extracts, analysis and dashboard reporting to all areas of the business, helping to determine opportunities and support solutions.
• Assist the wider business in providing the best customer support they can.
• Develop, optimise and action daily operational process controls.
• Monitor internal and third-party functionality.
• Timely and accurately deliver regular operational tasks and processes.
• Investigate, help diagnose and resolve issues.
• Automate recurring MI and optimise processes using SQL and Python.

Skills

SQL

Excel/Sheets

Analytical mind

Problem solving

Python (desirable)

Tools

Python

Job description

Chip is seeking a data analytics-minded individual to monitor product functionality and deliver data analyses, MI, and operational controls to support product development. You will collaborate with Operations, Compliance, and the Finance Crime data teams to optimise processes and monitor third-party functionality.

Key responsibilities include SQL-based analysis, dashboard reporting, and automating recurring MI tasks using SQL and Python where appropriate.