Analyst – Data Engineer

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.