Quantitative Analyst

develop

United Kingdom

Remote

GBP 52.000 - 78.000

Vollzeit

vor 6 Stunden
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Zusammenfassung

develop is seeking a Quantitative Analyst to transform complex clinical and operational data into actionable intelligence. This contract role offers UK remote work within healthcare-focused services, with a permanent arrangement.

The successful candidate will apply statistical techniques to uncover trends, assess risks and support senior decision-makers with evidence-based recommendations. You will also build dashboards and reports to drive service improvements, while ensuring governance and

Qualifikationen

  • Experience in quantitative or statistics analysis in healthcare or performance settings.
  • Advanced Excel & Power BI (or similar) visualization skills.
  • Proficient SQL for data extraction and validation.
  • Sound statistical knowledge and ability to turn data into clear recommendations for decision-makers.
  • Experience handling sensitive data with governance controls.

Aufgaben

  • Analyse clinical, quality, complaints, audit, incident, workforce and operational data.
  • Apply regression, correlation, trend analysis and risk stratification.
  • Identify emerging risks and develop early-warning indicators.
  • Build Power BI dashboards, scorecards and performance reports.
  • Use SQL to extract, join and validate data from multiple sources.
  • Conduct root-cause analysis and evaluate improvement initiatives.
  • Develop forecasting models and scenario analysis.
  • Present findings to senior stakeholders.
  • Establish baselines and measure impact of interventions.
  • Support data quality, governance and reproducible analytics.

Kenntnisse

Quantitative analysis
Statistical analysis
Healthcare analytics
Data storytelling
Communication skills

Tools

Excel (advanced)
Power BI
SQL

Jobbeschreibung

Quantitative Analyst | Healthcare, Statistics & Performance Insight

  • UK Remote
  • Perm

An exciting contract opportunity is available for a Quantitative Analyst to help transform complex clinical and operational data into actionable intelligence.

Working across healthcare-focused services, the successful contractor will uncover trends, identify emerging risks, investigate the drivers behind performance and provide evidence-based recommendations to support service improvement and senior decision-making.

This is an opportunity to go beyond reporting and use statistical analysis to influence how services measure quality, manage risk and improve outcomes.

What will they be doing?

  • Analysing clinical, quality, complaints, audit, incident, workforce and operational data within healthcare or disability services
  • Applying statistical techniques, including regression, correlation, trend analysis and risk stratification.
  • Identifying emerging risks and developing early-warning indicators.
  • Building Power BI dashboards, scorecards and performance reports.
  • Using SQL to extract, join and validate data from multiple sources.
  • Conducting root-cause analysis and evaluating improvement initiatives.
  • Developing forecasting models and scenario analysis where appropriate.
  • Presenting findings and recommendations to senior stakeholders.
  • Establishing baselines and measuring the impact of interventions.
  • Supporting data quality, governance and reproducible analytical processes.

What experience is needed?

  • Strong experience in quantitative, statistical, healthcare or performance analysis.
  • Advanced Excel and strong Power BI or equivalent visualisation skills.
  • Practical SQL capability.
  • Sound statistical knowledge and experience analysing complex datasets.
  • Experience turning data into clear recommendations for decision-makers.
  • Experience working with sensitive data and following appropriate governance controls.
  • Excellent communication skills and a methodical, evidence-led approach.

If they are a data-driven problem solver who can combine rigorous statistical analysis with clear business recommendations, this is an opportunity to make their expertise count.

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