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 Travel Required: 4-5 times a year Job Summary:   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, preferably Looker 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)  Desired Qualifications   Master’s degree preferred  What You'll Need to Succeed   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. About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at  patientpoint.com . Latest News & Innovations: Why is PatientPoint a Best Place to Work! Read More Teammate Honored as "Top Woman in Tech". Read More Recognized on Vault’s Top Internship List. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy , we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Requirements

Must-haves

Location: Cincinnati
Schedule : Hybrid
Travel Required: 4-5 times a year
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

Nice-to-haves

Proficiency in programming languages such as Python (preferred) or R for data analysis and automation.
Master’s degree preferred
What You'll Need to Succeed
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.

Application prep

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Keywords to mirror

machine learningsqlpythongcpawsazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

401k

Wellness