Senior BI Analyst
About The Position
HealthEdge is seeking a self-directed BI Analyst to join its Business Intelligence team and own the end-to-end design and delivery of business intelligence dashboards in Tableau and Amazon QuickSight. The role partners with internal stakeholders to turn data into clear, actionable insights, while collaborating with onshore and offshore data engineers who build and maintain the AWS-based lakehouse and analytics-ready data sources. The focus is on the analytical and visual layer: understanding business decisions, modeling data into intuitive dashboards, and delivering polished, usable experiences for executive and operational audiences. The successful candidate works independently, has a strong point of view on usability and visual design, and delivers high-quality dashboards efficiently through frequent iteration with users. This role offers the opportunity to shape the analytical and visual layer of a greenfield AWS-native BI platform, work in a collaborative small-team environment, and engage with a broad technology stack spanning analytics, data engineering, and modern cloud infrastructure. The position is remote in the United States and is classified as exempt. The annual US base salary range is $114,000 to $122,000; final compensation depends on factors including skills, experience, qualifications, and education. The work environment may involve working across multiple time zones in a hybrid or remote setting, long periods sitting or standing at a computer using video technology, and travel depending on company needs. The employee may occasionally need to move around the office. Required vision abilities include close, color, and peripheral vision, depth perception, and the ability to adjust focus. Reasonable accommodations may be made for individuals with disabilities.
Requirements
- At least 5 years of professional experience building production BI dashboards in Tableau, Amazon QuickSight, Power BI, Looker, or comparable modern BI tools, with deep hands-on proficiency in at least one tool.
- Demonstrated ability to design clean, usable dashboards with strong visual hierarchy, intentional use of color, and a clear point of view.
- Proficiency in SQL, including writing queries to explore data, prototype, validate dashboards, and prepare datasets.
- Solid understanding of data warehouse and lakehouse concepts, including dimensional modeling, joins, granularity, slowly changing dimensions, and transactional versus analytical data.
- Strong ownership and self-direction, including the ability to manage priorities across multiple internal stakeholders and ask for help when blocked.
- Strong written and verbal English communication and the ability to translate ambiguous business questions into dashboards and explain results to non-technical audiences.
- Bachelor's degree, or equivalent professional experience, in a quantitative, analytical, design, or business field.
Nice To Haves
- Portfolio or work samples demonstrating dashboard design.
- Hands-on experience with both Tableau and Amazon QuickSight, including dataset creation, calculated fields, parameters, row- and column-level security, and dashboard publishing in each.
- Healthcare or health plan domain experience, such as claims, membership, provider, care management, or customer support data.
- Experience translating workbooks and reports between BI platforms, including Tableau and QuickSight or Excel and a BI tool.
Responsibilities
- Build, publish, and maintain Tableau and Amazon QuickSight dashboards for internal operational and executive audiences.
- Translate business questions into well-modeled QuickSight datasets and Tableau data sources using appropriate joins, calculated fields, parameters, and filters.
- Apply visual design principles, including clear hierarchy, intentional color use, consistent layouts, and accessible typography.
- Optimize dashboard performance by evaluating SPICE versus Direct Query in QuickSight and live versus extract connections in Tableau, and manage refresh schedules.
- Maintain an organized portfolio of published assets across both BI platforms and retire stale content.
- Engage with internal business stakeholders to understand the decisions they need to make and what evidence would inform those decisions.
- Distill findings into clear narratives and recommendations that non-technical stakeholders can act on.
- Maintain lightweight documentation describing each dashboard's purpose, limitations, and underlying data ownership.
- Partner with onshore and offshore data engineers to define and refine analytics-ready data sources.
- Write SQL for ad-hoc analysis, prototyping, and data validation, and communicate data gaps, quality issues, or modeling changes to data engineering.
- Help prioritize the data engineering backlog by articulating which data, columns, or refresh frequencies are needed to unlock business value.
- Validate dashboard numbers against source systems and promptly surface discrepancies.
- Monitor dashboard usage, gather end-user feedback, and retire or rework dashboards that are not useful.
- Identify and propose opportunities to consolidate redundant reports, improve refresh cadence, or migrate legacy Tableau or Excel content between platforms as strategy evolves.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
