Hiring: Senior Analytics Engineer Company: PatientPoint® Location: Cincinnati, OH Job Posted Time: 2026-09-17 10:28:27 Employment Type: Full-time / Remote Target Skills & Keywords : Agile, Airflow, Data Pipeline, SQL, Snowflake, User Experience, Vault, dbt About the job Experience: •What You'll Need to Succeed •Strong communication skills, both verbal and written. •Highly organized with excellent attention to detail. •Demonstrated capacity to work independently and as part of a team. •Sense of urgency to learn and take on new challenges. Required Skills: •We are seeking an experienced and visionary Senior Analytics Engineer to design, build, and own end-to-end data solutions for our Core products, spanning data ingestion, modeling, semantic layer development, and final user experience. •Data Visualization & Report Development •Own the development, maintenance, and delivery of analytics-ready data platforms, driving data management best practices to deliver clean, standardized, and well-documented data assets using Snowflake, dbt, and Looker. •Foster strong partnerships with business stakeholders to understand requirements and deliver actionable analytics and reporting that surface key provider sales, operational, and business performance metrics, trends, and insights. •Partner with the Data team during the design, build, and testing of certified datasets in dbt and Snowflake, including the ingestion, transformation, and modeling of data from internal and external business systems. •Oversee the design and development of interactive and performant analytical experiences, with primary ownership of Looker dashboards, Explores, and semantic models supporting provider sales, commercial, and operational analytics. •Design and maintain analytics models and metrics supporting provider sales performance, including pipeline, revenue, customer engagement, operational KPIs, and other key business performance metrics. •Formulate and implement techniques for auditing and evaluating data collection quality, ensuring adequacy, accuracy, and legitimacy of data. Qualifications: •: 2 to 4 times per year •Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field. •Knowledge of statistical analysis and data mining techniques. •Previous experience partnering with cross-functional teams to support analytics and reporting needs. Compensation: •We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!