Qureos

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Analyst – Data Engineer

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We’re looking for a skilled Data Engineering professional to drive data-driven decision-making across our Commercial organization. In this role, you will collaborate with cross-functional teams, build scalable data pipelines, and deliver advanced analytics solutions that improve business performance.

Key Responsibilities

  • Partner with Commercial and Data Science teams to identify and execute data-driven opportunities.

  • Build and manage end-to-end data pipelines, ETL processes, and advanced analytics workflows.

  • Translate business needs into technical requirements, queries, scripts, and data models.

  • Analyze and interpret data, generate insights, and deliver clear reports to stakeholders.

  • Develop and maintain databases, data systems, and data quality frameworks.

  • Support BAU data operations, profiling, query optimization, and workflow orchestration.

  • Identify and implement process improvement opportunities to enhance data efficiency and scalability.

Required Skills

  • 4+ years of experience in Data Engineering/Analytics.

  • Strong expertise in Python, SQL, Snowflake, Redshift, MongoDB, Apache Spark, Airflow, AWS (S3, Lambda), Oracle, or Teradata.

  • Experience building scalable ETL pipelines, data integration, and managing large datasets.

  • Proficiency with Git and workflow orchestration tools.

  • Strong analytical and problem-solving abilities with excellent communication skills.

Nice-to-Have

  • Experience with Big Data tech (Hive, Spark, Scala, HDFS), API/REST services.

  • Knowledge of data visualization (Tableau, Power BI, Qlik).

  • Exposure to Salesforce/Veeva CRM, Data Governance, healthcare or biopharma datasets (IQVIA, Komodo, Symphony, etc.).

  • Background in consulting, healthcare, or biopharma is a plus.

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