Senior Data Analyst

Who We Are and Why Join Us At OnMed our purpose is simple but powerful...to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our path to everywhere has already begun, with our innovative CareStation, a small but mighty, Clinic-in-a-Box, bringing #healthcareaccess anywhere with an outlet to plug it in. Poised to become a key component in America’s public health infrastructure, the OnMed CareStation is the only tech-enabled, human-led, hybrid care solution that combines the comprehensive experience, trust and outcomes of a clinic, with the rapid scalability of virtual care. At OnMed, every role, every day, is directly impacting the communities we serve. You’ll join a high-performing purpose-driven team, innovating to break down the barriers that keep people from the care they need. This is not just a job...it's a movement to bring access to healthcare where and when people need it most. It’s healthcare that shows up. Who You Are You are a highly skilled data analytics professional with deep expertise in Power BI, Tableau, and advanced analytics. You specialize in transforming complex data into actionable insights, compelling visual narratives, and impactful business reports that support strategic decision-making. With a strong focus on innovation and agility, you thrive in dynamic environments and are passionate about leveraging data and technology to improve access to quality healthcare. Requirements Role’s Responsibilities  Collaborate with developers, engineers, and leadership to design and optimize the Databricks environment, ensuring robust governance, performance monitoring, and continuous improvement through data-driven insights. Gather and synthesize business and technical data requirements; apply best practices to deliver impactful insights and reporting aligned with strategic objectives. Analyze large-scale datasets to uncover trends, patterns, and opportunities for operational and clinical enhancements. Ensure data quality, consistency, and reliability across all analytics and reporting platforms; proactively identify and resolve data gaps or quality issues. Develop and optimize complex SQL queries to support data integration, transformation, and reporting processes. Build and manage scalable data pipelines, leveraging Databricks and Azure-based solutions including Azure Data Factory and Azure API Management. Monitor and troubleshoot data workflows to ensure smooth and efficient operations, providing technical documentation and stakeholder support as needed. Support ad-hoc reporting and data requests with a strong emphasis on accuracy, clarity, and turnaround time. Stay current with industry trends in data analytics, visualization technologies, and evolving healthcare data standards. Perform other related role's responsibilities as assigned. Knowledge, Skills & Abilities Extensive experience in data science, analytics, statistical modeling, and ETL processes. Skilled in managing and interpreting large, complex datasets to generate meaningful business insights. Experienced in Agile engineering methodologies and collaborative development practices. Proficient in Power BI, Tableau, SQL, and Python for data analysis and visualization. Advanced SQL expertise, including writing and optimizing complex queries for performance and scalability. Strong understanding of Azure cloud services and architecture, with hands-on experience in cloud-based data solutions. Practical experience with Databricks and other modern data platforms and cloud data warehouses. Excellent problem-solving abilities and strong attention to detail in both technical and analytical tasks. Effective communicator with proven collaboration skills across technical and non-technical teams. Well-versed in data governance, security principles, and best practices for enterprise data management. Education & Experience Bachelor’s degree in Computer Science, Data Science, or a related field. 3–5 years of professional experience in data analytics, data science, or related roles. Required Technical Skills: Proficient in Power BI, Tableau, and SQL, with working experience in Databricks and Python. Preferred Skills: Familiarity with Azure or AWS, particularly in solving big data challenges; experience with C# and PySpark is a plus. Experience with AI tools is highly desirable. Background in healthcare data or experience within the healthcare industry is a strong advantage. Benefits Benefits OnMed provides a competitive salary and benefits package, including unlimited PTO and paid holidays. The base salary range for this role is $140,000 - $160,000 commensurate with the candidate's experience. OnMed is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law. #LI-HYBRID