Data Analyst – Participant Support Operations & Clinical Operations

Role Overview

The role involves working closely with operational and technical teams to understand performance, investigate complex problems, and turn data into practical recommendations. The Data Analyst will partner with teams across Participant Support Operations, Clinical Operations, and Analytics to solve operational problems using data and evidence.

What You Will Do

The key responsibilities include analysing participant contact volumes, service performance, complaints, and backlogs; identifying trends and drivers within participant enquiries and complaints; and developing and maintaining operational reporting, performance metrics, and monitoring across participant support and biosample operations.

Why It Might Be a Fit

The ideal candidate will have strong SQL skills, experience analysing complex operational data, and the ability to communicate complex analytical findings clearly to both operational and technical stakeholders.

Requirements

• Strong SQL skills and experience working with relational databases and cloud data platforms such as Snowflake
• Experience analysing complex operational data from multiple systems and investigating data quality issues, discrepancies, and operational risks
• Experience developing and maintaining reporting, dashboards, datasets, or other analytical products used by operational teams
• An understanding of operational performance analysis, which could have been developed within areas such as healthcare, logistics, customer operations, participant services, research, or another complex operational environment
• Familiarity with data modelling concepts and experience collaborating with Analytics Engineering or Data Engineering teams
• Strong problem-solving skills, with the ability to investigate root causes and turn analysis into practical recommendations
• The ability to communicate complex analytical findings clearly and build effective relationships with both operational and technical stakeholders
• An organised and adaptable approach, with the ability to manage competing priorities while maintaining a high level of accuracy and attention to data quality
• Knowledge of forecasting, capacity planning, performance measurement, or operational analytics methodologies would be advantageous
• An understanding of statistical concepts and performance monitoring techniques, such as variation analysis or statistical process control, would be beneficial
• Experience using Python or R for data manipulation, analysis, automation, or exploratory investigation would also be beneficial

Benefits

• Generous Pension Scheme
• 30 Days Holiday + Bank Holidays
• Enhanced Parental Leave
• Cycle to Work Scheme
• Home & Tech Savings
• £1,000 Employee Referral Bonus
• Wellbeing Support
• A Great Place to Work

Tagged as: Data Analysis