Senior Data Analyst

Role Description

We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis.

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually.
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization.
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field.
• 5+ years of experience in analytics, data management, business intelligence or a related field.
• Experience working with healthcare claims data, including medical or pharmacy claims.
• Proficiency in SQL for querying and managing large datasets.
• Experience with data visualization tools such as Looker, Tableau, or Power BI.
• Strong understanding of data modeling, statistical analysis and data visualization.
• Proficiency in programming languages such as Python (preferred) or R for data analysis and automation.
• Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure).

Requirements

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field (desired).
• Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes (desired).

Benefits

• Competitive compensation.
• Flexible time off to recharge.
• Hybrid work options.
• Mental and emotional wellness resources.
• 401K plan.
• Comprehensive range of modernized benefits and cultural perks.