Description

Data Accuracy & Validation
● Validate data integrity across reporting outputs and source systems within your division
● Identify discrepancies and investigate root causes in collaboration with the data engineering team
● Ensure all data is reviewed and verified before distribution to stakeholders
● Proactively surface data quality issues before they reach leadership or clinical teams
Reporting & Dashboards
● Build and maintain dashboards and reports using Looker, Power BI, Tableau, or similar tools
● Translate operational and clinical data into clear, structured insights for non-technical
stakeholders
● Support recurring reporting needs for divisional leadership
● Ensure dashboards are simple, usable, and actively adopted by teams
Metric Consistency
● Apply standardized metric definitions as established and governed by BII leadership

● Maintain documentation of reporting logic and calculation methods within your division
● Escalate metric inconsistencies or definitional gaps to the BII Director for resolution
Cross-Functional Collaboration
● Work closely with divisional operations and clinical leadership to understand reporting needs
● Act as the primary consumer of data engineering outputs — raise pipeline issues through the BII
Director
● Contribute to broader BII reporting initiatives as directed by BII leadership
What success looks like
● Leadership trusts the numbers without questioning them
● Dashboards are simple, actionable, and widely used by your division
● Data issues are caught before they reach decision-makers
● Reporting processes are reliable, repeatable, and well-documented
● Discrepancies are identified and escalated — or resolved — in a timely manner

Requirements

● Strong SQL proficiency complex queries, joins, aggregations, and data validation logic

● Proven experience building and maintaining dashboards (Looker, Power BI, Tableau, or similar)

● 3–7+ years in data analytics, business intelligence, or reporting roles

● Demonstrated experience working across multiple data sources and reconciling inconsistencies

● Strong attention to detail with a track record of identifying and resolving data discrepancies

● Ability to explain data clearly and confidently to non-technical stakeholders

Advantageous

● Experience in healthcare, clinical operations, or multi-location environments

● Familiarity with EMR systems (e.g., Athena) or similar platforms

● Exposure to working alongside data engineering teams

Benefits

• SALARY - $ 1,500 to $ 1,800 PER MONTH 

• TYPE OF WORK - FULL TIME (REMOTE), Hours: 40 hours a week

• WORK SCHEDULE - US TIME ZONE