Data Operations Analyst – Financial Markets / Market Data (£50-70,000 p/a)

Volition; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

Volition is seeking a Data Operations Analyst to join its London team, focused on data quality, pipelines and operational processes for financial market data products.

The role involves building and monitoring data pipelines, analyzing new feeds, resolving data discrepancies, automating workflows, and developing dashboards, with collaboration across technology and commercial teams.

Qualifications

• 1–5 years' experience in Data Operations, Data Analysis or a similar role.
• Strong SQL skills and familiarity with Python for scripting or automation.
• Strong Excel skills and experience working with large datasets.
• Exposure to cloud platforms such as AWS.
• Strong analytical, problem-solving and communication skills.
• Degree in Computer Science, Mathematics, Data Science, Finance or similar.

Responsibilities

• Build, monitor and maintain data pipelines to ensure reliable data flows.
• Analyse new data feeds and map datasets to internal databases.
• Investigate data discrepancies, identify root causes and resolve quality issues.
• Automate manual workflows and optimise operational processes.
• Develop dashboards and reports to monitor data quality and performance.
• Collaborate with technology and commercial teams on data-related requirements.

Skills

SQL

Python scripting

Excel

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science/Math/Data Science/Finance or similar

Tools

AWS

Job description

Data Operations Analyst – Financial Markets / Market Data

Location: London, UK

Experience: 1–5 years

The Opportunity

We're partnering with a specialist FinTech firm providing market data, investment analytics and risk solutions to institutional clients.

They're looking for a Data Operations Analyst to join their London team, focusing on data quality, data pipelines and operational processes supporting their financial data products.

Key Responsibilities

• Build, monitor and maintain data pipelines to ensure reliable data flows.
• Analyse new data feeds and map datasets to internal databases.
• Investigate data discrepancies, identify root causes and resolve quality issues.
• Automate manual workflows and optimise operational processes.
• Develop dashboards and reports to monitor data quality and performance.
• Collaborate with technology and commercial teams on data-related requirements.

Skills & Experience

• 1–5 years' experience in Data Operations, Data Analysis or a similar role.
• Strong SQL skills and familiarity with Python for scripting or automation.
• Strong Excel skills and experience working with large datasets.
• Exposure to cloud platforms such as AWS
• Strong analytical, problem-solving and communication skills.
• Degree in Computer Science, Mathematics, Data Science, Finance or similar.

Why Consider This Opportunity?

• Join a specialist FinTech operating in the financial data market.
• Gain exposure to financial datasets, data infrastructure and analytics.
• Develop technical skills across SQL, Python and cloud technologies.
• Opportunity to take ownership of key data processes within a growing business.