Data Analyst - Participant Support Operations & Clinical Operations at Our Future Health | GB | Rezi

Data Analyst - Participant Support Operations & Clinical Operations at Our Future Health

Data Analyst - Participant Support Operations & Clinical Operations

Our Future Health · GB

3 days ago

Data Analyst - Participant Support Operations & Clinical Operations

Our Future Health · GB

4 days ago
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About the Role

This role focuses on leveraging data and operational insights to enhance the participant experience and the efficiency of biosample logistics within a large-scale health research program. You will collaborate with various teams to analyze performance, troubleshoot issues, and provide data-driven recommendations for process improvement and operational efficiency.

Responsibilities

  • Partner with teams across Participant Support Operations, Clinical Operations, and Analytics to solve operational problems using data and evidence.
  • Develop trusted reporting and metrics.
  • Investigate issues across multiple systems.
  • Help teams move towards more proactive, data-informed performance management.
  • Analyze participant contact volumes, service performance, complaints, and backlogs, using forecasting and capacity planning to manage demand.
  • Identify trends and drivers within participant enquiries and complaints, translating findings into actionable recommendations.
  • Analyze the end-to-end biosample journey across operational, logistics, and laboratory systems, identifying delays, discrepancies, anomalies, and quality issues.
  • Use SQL and exploratory analysis to investigate data across multiple systems, reconstruct operational workflows, and identify root causes of issues.
  • Develop and maintain operational reporting, performance metrics, and monitoring across participant support and biosample operations.
  • Collaborate with Analytics Engineers, Data Scientists, and operational teams to improve data quality, traceability, and reporting capability.
  • Translate operational questions into structured analytical approaches.
  • Communicate findings clearly to both technical and non-technical stakeholders.
  • Help teams transition from manual and reactive reporting towards proactive performance management and data-informed decision-making.

Requirements

  • Strong SQL skills and experience working with relational databases and cloud data platforms such as Snowflake.
  • Experience analyzing 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.
  • Understanding of operational performance analysis, potentially developed within healthcare, logistics, customer operations, participant services, research, or other complex operational environments.
  • Familiarity with data modeling concepts.
  • Experience collaborating with Analytics Engineering or Data Engineering teams.
  • Strong problem-solving skills, with the ability to investigate root causes and translate analysis into practical recommendations.
  • Ability to communicate complex analytical findings clearly.
  • Ability to build effective relationships with both operational and technical stakeholders.
  • Organized and adaptable approach.
  • 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 is advantageous.
  • Understanding of statistical concepts and performance monitoring techniques, such as variation analysis or statistical process control, is beneficial.
  • Experience using Python or R for data manipulation, analysis, automation, or exploratory investigation is also beneficial.

Skills

  • SQL
  • Data Analysis
  • Operational Performance Analysis
  • Forecasting
  • Capacity Planning
  • Data Modeling
  • Problem-Solving
  • Communication
  • Relationship Building
  • Data Quality Management
  • Python
  • R

Location

  • Central London office in Holborn
  • Remote

Work Type

  • Remote
  • Hybrid

Experience Level

  • Mid-level

Salary/Compensations

  • From £53,000 annum basic salary

Benefits

  • Generous Pension Scheme – employer contributions of up to 12%
  • 30 Days Holiday + Bank Holidays
  • Enhanced Parental Leave
  • Cycle to Work Scheme
  • Home & Tech Savings
  • £1,000 Employee Referral Bonus
  • Wellbeing Support – Access to Mental Health First Aiders, 24/7 online GP services, and Employee Assistance Programme
  • Flexible and remote working arrangements

About the Company

  • Our Future Health is a charity, supported by the UK Government, in partnership with charities and industry.
  • We work closely with the NHS and with public authorities across all nations and regions of the UK.
  • Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective.
  • Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases.

Equal Opportunity

  • At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process.
  • We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.
  • If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.