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Sr Data Analyst

PatientPoint

Salary not specified
Dec 19, 2025
Cincinnati, OH, US
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PatientPoint seeks a Senior Data Analyst to drive data-driven decision-making across the organization, with the goal of improving health outcomes for millions of patients by transforming the healthcare experience through data analysis and insights.

Requirements

  • Proficiency in SQL for querying and managing large datasets.
  • Experience with data visualization tools such as Looker, Tableau, or Power BI.
  • 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)
  • Strong understanding of data modeling, statistical analysis and data visualization

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.

Other

  • 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
  • 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.