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Sr Data Analyst
Sr Data AnalystPatientPoint • Cincinnati, Ohio, US
Sr Data Analyst

Sr Data Analyst

PatientPoint • Cincinnati, Ohio, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. 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.

Location : Cincinnati

Schedule : Hybrid Schedule

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.

What You’ll Do

  • 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.

What We Need

  • 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.
  • Desired Qualifications

  • Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
  • What You'll Need to Succeed

  • 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.
  • #LI-ED1 #LI-Hybrid

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