Sr. Data Analyst

PatientPoint is seeking a Senior Data Analyst to drive data-informed decision-making across the organization. The role analyzes complex datasets, develops data models and visualizations, and partners with stakeholders to provide actionable insights and improve business performance.

Responsibilities:

• 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

Requirements:

• 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
• 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
• or R for data analysis and automation
• Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)
• Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders
• Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners
• Strong problem-solving skills and a results-driven approach
• Excellent time management skills and keen attention to detail
• Python (preferred)
• Master's degree preferred