Data Analyst - RWD/RWE (Healthcare & Life Sciences)

Orcapod Consulting Services

United States

À distance

USD 80 000 - 110 000

Plein temps

14 jours+

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Résumé du poste

Orcapod Consulting Services is seeking a Data Analyst with strong experience in Healthcare, Pharma, Life Sciences, Real World Data (RWD), or Real World Evidence (RWE) to support data-driven decision-making. You will analyze healthcare datasets, develop SQL queries, and work with cloud data platforms.

The ideal candidate has hands-on data analysis, validation, reporting, and stakeholder collaboration experience, plus familiarity with healthcare analytics use cases and lifecycle data workflows.

Qualifications

  • Strong SQL expertise.
  • Experience with Snowflake, Amazon Redshift or Apache Airflow.
  • Proficient in data analysis and reporting.
  • Data validation and data quality.
  • Stakeholder management across business and research teams.
  • Domain experience in Healthcare, Pharma, Life Sciences, Clinical Research, or Healthcare Analytics.

Responsabilités

  • Analyze large healthcare, pharma, and life sciences datasets to generate insights.
  • Work with Real World Data (RWD) and Real World Evidence (RWE) datasets.
  • Develop, optimize, and maintain complex SQL queries for data extraction and analysis.
  • Perform data validation, quality checks, and reporting.
  • Collaborate with stakeholders, researchers, and analytics teams to understand requirements and deliver insights.
  • Build reports, dashboards, and analytical solutions for healthcare use cases.
  • Support data integration, transformation, and analytical workflows.
  • Work with cloud-based data platforms and modern analytics technologies.

Connaissances

Strong SQL
Data Analysis
Reporting
Stakeholder Management
Healthcare Analytics

Outils

Snowflake
Amazon Redshift
Apache Airflow

Description du poste

About the Role

We are looking for a highly motivated Data Analyst with strong experience in Healthcare, Pharma, Life Sciences, Real World Data (RWD), or Real World Evidence (RWE). The ideal candidate should have expertise in data analysis, SQL, cloud data platforms, and healthcare analytics to support data-driven decision-making.

Key Responsibilities
  • Analyze large healthcare, pharma, and life sciences datasets to generate meaningful insights.
  • Work with Real World Data (RWD) and Real World Evidence (RWE) datasets.
  • Develop, optimize, and maintain complex SQL queries for data extraction and analysis.
  • Perform data validation, quality checks, and reporting.
  • Collaborate with business stakeholders, researchers, and analytics teams to understand requirements and deliver actionable insights.
  • Build reports, dashboards, and analytical solutions for healthcare and life sciences use cases.
  • Support data integration, transformation, and analytical workflows.
  • Work with cloud-based data platforms and modern analytics technologies.
Mandatory Skills
  • Strong SQL expertise
  • Experience in at least one of the following:
    • Snowflake
    • Amazon Redshift
    • Apache Airflow
  • Data Analysis and Reporting
  • Data Validation and Data Quality
  • Stakeholder Management
  • Healthcare, Pharma, Life Sciences, Clinical Research, or Healthcare Analytics domain experience
Preferred Domain Experience

Candidates with experience in any of the following will be preferred:

  • Real World Data (RWD)
  • Real World Evidence (RWE)
  • Clinical Data
  • Healthcare Analytics
  • Patient Outcomes Analysis
  • Claims Data Analysis
  • Electronic Health Records (EHR/EMR)
  • Population Health Analytics
  • Life Sciences Analytics
  • Pharmaceutical Analytics
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