Senior Analytics Engineer
Core
Build and deliver scalable data products including BI dashboards, automated monitoring, and alerting processes to enable actionable data insights for internal and external stakeholders.
Role type
Senior Analytics Engineer
Builds
BI dashboards, automated monitoring and alerting processes, analytics tools, and data products
Domain
Healthcare / Medical Devices / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, relational databases, cloud data management (Azure SQL, Google BigQuery), Business Intelligence tools (TIBCO Spotfire, PowerBI, Tableau), Python, R, command line scripting, data validation best practices, software engineering principles
Preferred skills
non-relational databases (MongoDB), Salesforce data, Databricks, Spark, medical device/healthcare/manufacturing industry experience, HIPAA compliance
Technologies
Azure SQL, Google BigQuery, MongoDB, TIBCO Spotfire, PowerBI, Tableau, Databricks, Spark, Python, R
Responsibilities
Own and develop analytics tools and processes for data-driven decision making; lead dashboard, application, dataset, and tool validation and documentation; partner with stakeholders to build queries and data visualizations; work with IT to identify data sources and design aggregation mechanisms; serve as liaison between data teams and upstream engineering teams; manage analytics intake process and workflows; mentor junior Analytics Engineers
Seniority
Senior, hands-on IC