Senior Business Intelligence Analyst

Summary

Join Vida, a virtual personalized obesity care provider, as a Business Intelligence Analyst. Partner with stakeholders to translate business needs into scalable analytics solutions. Perform in-depth data analysis, build and maintain data models, and design interactive dashboards. Collaborate with engineering teams, conduct ad-hoc analyses, monitor KPIs, and manage cross-functional projects. The ideal candidate possesses 4-5+ years of experience in business intelligence or data analytics, advanced SQL proficiency, and dashboard development expertise. Experience with clinical data and healthcare analytics is a plus. Vida offers a competitive salary and is committed to diversity and inclusion.

Requirements

• Minimum 4-5+ years of experience in business intelligence or data analytics roles
• Bachelor's degree in Business Intelligence, Data Science, Statistics, Computer Science or related quantitative field preferred
• Advanced SQL proficiency- expert-level ability to write complex queries and optimize performance
• Dashboard development expertise- proven experience creating interactive dashboards using modern BI tools (Looker, Tableau, Power BI, or similar)
• Strong business intelligence skillset including statistical analysis and data interpretation, data warehousing, stakeholder management and statistical analysis
• Experience with modern data modeling practices (dimensional modeling)
• Experience with cloud data warehouses (BigQuery preferred)
• Proficiency with data transformation tools (DBT preferred or equivalent frameworks)
• Excellent communication skills with ability to present insights both technical and non-technical audiences
• Strong analytical thinking and rapid problem-solving abilities
• Experience with clinical data and healthcare analytics (claims, labs, pharmacy data)
• Familiarity with HIPAA compliance and handling PHI/PII data
• Understanding of data privacy regulations and best practices

Responsibilities

• Partner with stakeholders across different functional areas to translate business requirements into into scalable analytics solutions and reporting frameworks
• Perform sophisticated data analysis including trend analysis, cohort analysis and predictive modeling to identify growth opportunities and business risks
• Build and maintain robust data models while ensuring data quality and consistency
• Design, develop and maintain intuitive and interactive dashboards and reports that enable self-service analytics for business users
• Collaborate with analytics engineering teams to optimize data pipelines and troubleshoot issues quickly
• Conduct ad-hoc analysis to support strategic initiatives and business planning
• Monitor KPIs and provide real-time insights to leadership teams
• Manage cross-functional projects involving data integration, reporting automation and analytics infrastructure improvements

Preferred Qualifications

• Knowledge of programming languages such as Python or R preferred
• Experience with ETL/ELT orchestration tools (Airflow or similar) preferred

Benefits

$105,000 - $120,000 a year