Sr. Data Analyst

Beth Israel Lahey Health is seeking a Sr. Data Analyst to join its Boston, Suffolk County team. This full‑time role offers a competitive salary of $101,160.02 and focuses on delivering high‑quality data solutions for clinical and business intelligence.

Key Responsibilities

• Lead and manage one or more complex data projects from conception through delivery.
• Utilize hospital information systems and database applications to extract, transform, and load data.
• Perform detailed data mapping, validation, and quality checks to ensure accuracy and reasonableness.
• Develop dashboards, reports, and visualizations that support research, clinical, and operational decision‑making.
• Collaborate with clinicians, researchers, and IT teams to translate business needs into technical specifications.
• Document data workflows, methodologies, and governance procedures.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Health Informatics or related field; Master’s preferred.
• 5+ years of experience in data analysis, preferably in a healthcare setting.
• Proficiency with SQL, Python or R, and data visualization tools such as Tableau or Power BI.
• Strong understanding of relational databases, data warehousing, and ETL processes.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to work independently and manage multiple priorities in a fast‑paced environment.

What We Offer

• Competitive salary of $101,160.02 annually.
• Comprehensive health, dental, and vision benefits.
• Opportunities for professional development and continuing education.
• Collaborative culture focused on improving patient outcomes.

Frequently Asked Questions

What types of data projects will I manage as a Sr. Data Analyst?

You will lead complex projects that involve data extraction, transformation, quality assurance, and the creation of dashboards and reports for clinical and operational use.

What technical skills are essential for this position?

Proficiency in SQL, Python or R, and data visualization tools like Tableau or Power BI, along with strong knowledge of database and ETL processes.

Is healthcare experience required?

While not mandatory, experience in a healthcare environment is highly preferred to understand clinical data and regulatory requirements.