Data Analyst, Engineer

🔥 56 minutes ago

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PurpleLab

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 $12.7M Series A - Purple Labs on 2007-09

Healthcare • Pharmaceuticals • SaaS

PurpleLab is a real-world data and analytics company that provides validated, standardized healthcare datasets and a multimodal analytics platform (HealthNexus®) to help life sciences, payers, providers, agencies/media, and financial clients turn real-world data into actionable insights. Their offering centers on large-scale claims, provider, eligibility, remittance, EHR, and mortality datasets (billed as 16B+ annual claims) and supports real‑world evidence, campaign measurement, network intelligence, and operational analytics. PurpleLab positions itself as a flexible partner offering data access, pre-built analytics, and full-service consulting to accelerate drug development, advertising measurement, payer/provider network optimization, and other healthcare analytics use cases.

📋 Description

• Design, develop, and maintain ETL processes for data warehouse ingestion and transformation • Manage data pipelines using Airflow or similar workflow orchestration tools, including custom operators, sensors, and hooks • Implement data quality checks and validation using Spark and SQL • Analyze data trends and patterns to identify and resolve data quality issues • Partner with data science, business intelligence, and other cross-functional teams on data accuracy, consistency, and security • Support cost-effective data assimilation and reporting strategies • Champion data governance best practices and monitor emerging data technologies and trends • Develop data integration and consolidation techniques for high-quality data transfers • Document and conduct ad-hoc analyses supporting business needs, sales efforts, and proposed solutions • Collaborate on projects as directed by senior leadership • Perform other duties assigned to support business needs and company objectives

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field required • 3+ years of experience in data engineering, ETL development, or a related role, preferably in healthcare or life sciences • Proficiency in SQL, Python, and Spark for data transformation and analysis • Experience working in an Agile environment, specifically scrum • Experience with workflow orchestration tools such as Apache Airflow • Strong knowledge of ETL processes, data pipelines, and cloud-based data solutions including AWS, GCP, or Azure • Familiarity with data modeling, database design, and data warehousing concepts • Experience with big data technologies such as Hadoop, Snowflake, or Databricks is a plus • Understanding of data quality frameworks, governance best practices, and data security principles • Strong problem-solving skills for analyzing complex data sets and identifying trends • Ability to collaborate with data science, business intelligence, and leadership teams • Excellent communication and documentation skills for technical and non-technical stakeholders