Data Analyst at PatientPoint

Cincinnati, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Looker, Tableau, Power BI, Data Modeling, Statistical Analysis, Data Visualization, Snowflake, GCP, AWS, Azure, Data Cleaning, Analytical Problem Solving, Communication

Industry

Software Development

Description

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. Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our growing Analytics team. In this role, you will work with data to generate insights, build reports, and support decision-making across the organization. You will gain hands-on experience with data analysis, visualization, and reporting while collaborating with cross-functional teams. What You’ll Do Collect, clean, and analyze large datasets to support business objectives. Assist in automating data workflows and reporting processes. Maintain and improve data quality by ensuring accuracy and consistency. Identify trends, patterns, and insights in data to drive business decisions. Provide ad-hoc analysis and quick turnaround data support to answer urgent business questions with trusted, accurate insights. Stay up to date with industry best practices in data analytics. What We Need Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field Basic proficiency in SQL for querying and managing large datasets. Basic proficiency in programming languages such as Python (preferred) or R for data analysis and automation. Experience with data visualization tools such as Looker, Tableau, or Power BI. Familiarity with data modeling, statistical analysis and data visualization Familiarity with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure) What You'll Need to Succeed Strong analytical and problem-solving skills. Keen attention to detail and a proactive approach to problem solving. Ability to communicate complex data findings in a clear and concise manner. A learning mindset with a willingness to develop new skills, explore new tools, and adapt to evolving business needs. Excellent time management skills and ability to work collaboratively in a team environment. Strong customer service orientation. About PatientPoint: PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation’s largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year. Latest News & Innovations: Named 2025 Best Places to Work by Built In! Read More New Orleans Saints Partner with PatientPoint to Enhance Player Health & Performance. Read More Featured on Built In’s "Insights from Top Sales Leaders." 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, including part-time and interns. 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

Responsibilities

The Data Analyst will collect, clean, and analyze large datasets to generate business insights and build reports. They will also automate data workflows and provide ad-hoc analysis to support organizational decision-making.