Sr. Data Analyst

• Collaborates with internal partners and organizations in the design and development of reporting solutions and analytic studies to support business needs.
• Develops, validates, and executes complex queries, develops complex reports and performs complex data analysis that answers business questions for internal customers; interprets results, and makes recommendations to business areas based on findings.
• Develops project plans and timelines; responsible for project commitments to quality and on-time deliverables.
• Evaluates data needs of assigned projects, assures data integrity and suitability, and determines data collection methods, metrics definitions and evaluation methods.
• Turns data into actionable information through reporting solutions.
• Troubleshoots technical details / issues.
• Presents analysis and reports to internal customers and stakeholders.

• Bachelor's degree (preferably in statistics, computer science, data sciences, engineering) with relevant business experience.
• 3-4 years' experience with advanced SQL programming abilities using large data warehouse environments, to include some experience with ETL/ELT in a big data environment (e.g., Google Cloud Platform-GCP, Hadoop, Apache, NiFi, etc.)
• Must have experience using Snowflake and SQL
• Knowledge of analytic programming tools, methods, and platforms for reporting, scripting, and/or ETL needs, including Python, SAS, VBA, Alteryx, Visual Studio, etc.
• Experience working with large data sets from multiple data sources and understanding of relational databases, data systems and data warehouses, to include data modeling for optimal business intelligence solutions development.
• Extensive and diverse knowledge of business operational metrics, systems and standards - knowledge of clinical operations metrics a plus; demonstrated subject matter expertise in multiple subject areas.
• Ability to communicate technical ideas and results to non-technical clients in written and verbal form.
• Ability to manage conflicting priorities and multiple projects concurrently.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
• Microsoft Office skills; PowerPoint and advanced Excel, pivot tables, visuals

Last updated on Oct 4, 2023