Senior BI Analyst

Overview
Overview:

We are looking for a self-directed BI Analyst to join our growing HealthEdge Business Intelligence team. In this role you will own the end-to-end design and delivery of business intelligence dashboards in Tableau and Amazon QuickSight, working in close partnership with internal HealthEdge stakeholders to turn data into clear, actionable insight.

You will collaborate daily with our onshore and offshore data engineers, who build and maintain the AWS-based lakehouse and analytics-ready data sources you will consume. Your focus is on the analytical and visual layer: understanding what business teams need to decide, modeling the data into intuitive dashboards, and delivering a polished, usable experience that holds up to executive and operational scrutiny.

The ideal candidate operates independently, has strong opinions about usability and visual design, and is relentless about working efficiently — shipping high-quality dashboards quickly and iterating with users rather than disappearing for weeks at a time.
Core Responsibilities
Dashboard Design and Development
- Build, publish, and maintain Tableau and Amazon QuickSight dashboards that serve internal HealthEdge operational and executive audiences.

- Translate business questions into well-modeled QuickSight datasets and Tableau data sources, applying appropriate joins, calculated fields, parameters, and filters.

- Apply strong visual design principles — clear hierarchy, intentional use of color, consistent layout, and accessible typography — so dashboards are immediately usable by their intended audience.

- Optimize dashboard performance, evaluating SPICE vs. Direct Query in QuickSight and live vs. extract connections in Tableau, and managing refresh schedules.

- Maintain a clean, well-organized portfolio of published assets across both BI platforms, retiring stale content rather than letting it accumulate.

Stakeholder Partnership and Insight Delivery
- Engage directly with internal business stakeholders across the organization to understand the decisions they need to make and what evidence would change those decisions.

- Distill findings into clear narratives and recommendations; package insights so non-technical stakeholders can act on them without translation.

- Maintain lightweight documentation describing what each dashboard answers, what it does not, and who owns the underlying data.

Collaboration with Data Engineering
- Partner with onshore and offshore data engineers to define and refine the analytics-ready data sources that power dashboards.

- Write your own SQL for ad-hoc analysis, prototyping, and data validation; surface gaps, quality issues, or modeling changes back to the data engineering team.

- Help prioritize the data engineering backlog by clearly articulating which new data, columns, or refresh frequencies are needed to unlock business value.

Quality, Iteration, and Continuous Improvement
- Validate dashboard numbers against source systems and surface discrepancies promptly.

- Monitor usage and gather feedback from end users; retire or rework dashboards that are not earning their place.

- Identify and propose opportunities to consolidate redundant reports, improve refresh cadence, or migrate legacy Tableau or Excel content into QuickSight (or vice versa) as the platform strategy evolves.

Required Qualifications
- 5+ years of professional experience building production BI dashboards in Tableau, Amazon QuickSight, Power BI, Looker, or comparable modern BI tooling — with at least one tool used at deep, hands-on proficiency.

- Demonstrated ability to design clean, usable dashboards with strong visual hierarchy, intentional use of color, and a clear point of view. Portfolio or work samples preferred.

- Proficiency in SQL — comfortable writing your own queries to explore data, prototype, validate dashboards, and prepare datasets.

- Solid understanding of data warehouse and lakehouse co