OnMed aims to improve the quality of life and sense of well-being in communities by bringing access to healthcare to everyone, everywhere. The company is looking for a data analytics professional to transform complex data into actionable insights and compelling visual narratives that support strategic decision-making to achieve this goal.
Requirements
- Proficient in Power BI, Tableau, and SQL, with working experience in Databricks and Python.
- 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.
- Familiarity with Azure or AWS, particularly in solving big data challenges; experience with C-Sharp and PySpark is a plus.
- Experience with AI tools is highly desirable.
- Extensive experience in data science, analytics, statistical modeling, and ETL processes.
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.
Other
- 3–5 years of professional experience in data analytics, data science, or related roles.
- Background in healthcare data or experience within the healthcare industry is a strong advantage.
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 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.
