Senior Data Analyst - Remote

Overview

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

In Short

• 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 to utilizing data proactively to uncover opportunities for improvement.
• 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 (preferred) 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.

Benefits

• Competitive pay and benefits that are in line with industry standards.
• Flexible time off to recharge.
• Hybrid work options.
• Mental and emotional wellness resources.
• 401K plan.
• Comprehensive range of modernized benefits and cultural perks.
• Supportive environment for all teammates, including part-time and interns.