
Senior Bi Engineer
4 days ago
Role & responsibilities
- Design, develop, deploy, and maintain scalable business intelligence dashboards using Power BI, Tableau, or Looker.
- Design and maintain efficient and scalable data models, schemas, and architecture to support analytics and reporting.
- Ensure real-time monitoring, performance optimization, and data accuracy of BI dashboards.
- Participate in data warehouse design, ETL processes, and data integration workflows.
- Support upgrades, configurations, and troubleshooting for BI tools and data systems.
- Develop and maintain comprehensive technical documentation for BI solutions.
- Collaborate closely with Business Analysts, Engineers, Product, and Operations teams to understand new BI/dashboard requirements.
- Build self-serve dashboards that empower internal teams to make data-driven decisions.
- Conduct campaign and conversion analysis to identify high-impact levers for improving performance.
- Generate customer or hospital-level reports to identify upsell and retention opportunities.
- Perform operational analytics to detect inefficiencies and improve workflows through root-cause and cohort analysis.
- Collaborate with Product teams to deliver feature and product intelligence supporting UX and feature prioritization.
- Develop predictive and segmentation models (e.g., payment propensity, behavior, or regional trends).
- Deliver periodic strategic insight reports to influence product, operational, or campaign strategies.
- Continuously propose and implement improvements to enhance the BI ecosystem and analytics framework.
Preferred candidate profile
- Proficiency in Power BI and Tableau for data visualization and dashboard development.
- Strong skills in SQL and Microsoft Excel for data querying and analysis.
- Exposure to Python and/or R for data wrangling, statistical analysis, and model prototyping.
- Understanding of data modeling, ETL processes, and large data flow configuration.
- Knowledge of A/B testing, cohort analysis, and customer segmentation techniques.
- Experience working with healthcare data (claims, billing, EMR, HL7/FHIR) is an added advantage.
- Familiarity with SaaS platforms or digital health environments.
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