Business Intelligence Analyst, Analytics

ChenMed

1d•$70,396 - $100,565•Hybrid

About The Position

The BI Analyst independently owns defined analytics workstreams that support leaders across clinical, operational, network, and enterprise functions. The role turns ambiguous business questions into metrics, analyses, dashboards, trackers, and executive-ready insights that improve outcomes, performance, and total cost of care. Success requires a blend of technical analytics execution, healthcare operating context, and consultative problem solving.

Requirements

Intermediate-to-Advanced SQL skills, including multi-table joins, aggregation logic, performance-conscious querying, QA, and clear translation of business logic into data logic.
Advanced Excel and strong BI visualization skills; able to create clear self-service reporting and executive-facing materials.
Working knowledge of Power BI data models, DAX, report design, and user experience principles.
Strong executive and clinician-facing communication and stakeholder management skills, including the ability to translate complex analyses into clear implications, clarify requirements, structure decisions, present concise recommendations, and action-oriented materials.
Ability to connect technical findings to operational, clinical, and strategic implications.
Healthcare domain fluency or strong experience learning complex operating environments quickly; Medicare Advantage, provider risk, and value-based care experience strongly preferred.
Working knowledge of analytical methods such as segmentation, trend analysis, KPI design, and basic evaluation of intervention performance.
Ability to independently manage workstreams, maintain clear documentation, and drive execution with appropriate escalation and stakeholder follow-through.
Practical AI workflow capability, including effective prompting, validation of outputs, and thoughtful integration of AI into daily analytics work.
Spoken and written fluency in English.
Willingness and ability to travel within the US up to 5% of the time.
This job requires the use and exercise of independent judgment
Bachelor’s degree in analytics, business, economics, public health, healthcare management, statistics, nursing, life sciences, information systems, engineering, or a related field required, with Master’s or other advanced degree a plus; additional relevant experience may be considered in lieu of degree requirements where appropriate.
2+ years of relevant experience in healthcare analytics, business analytics, management/strategy consulting, clinical informatics, operations analytics, or other stakeholder-facing analytical roles required.
Experience delivering dashboards or analyses in Power BI, Tableau, or similar tools required.
Healthcare experience strongly preferred, especially in Medicare Advantage, managed care, provider-risk, or value-based care settings.

Nice To Haves

Master’s or other advanced degree a plus

Responsibilities

Acts as a data and analytics partner for assigned stakeholders, translating business questions into analytical plans, reporting requirements, and decision-ready outputs.
Independently builds and enhances dashboards, scorecards, data extracts, and recurring reporting that support fast-moving operational and clinical priorities.
Develops presentation-ready analyses and materials for leaders, physicians, and executive stakeholders, tailoring the level of detail to the audience and the decision at hand.
Presents findings and recommendations in a way that links data to operational action, clinical performance, patient outcomes, and total cost of care.
Defines, refines, and monitors KPIs that help teams measure patient outcomes, practice performance, operational efficiency, specialty/network performance, and cost trends.
Performs root-cause, cohort, trend, and opportunity analyses that move beyond describing what happened to recommending what should happen next.
Prepares executive- and clinician-ready presentations that synthesize findings into clear themes, implications, and recommended actions.
Partners with report developers, data engineers, data scientists, and other technical teams to clarify business logic, validate requirements, support testing, and improve usability.
Proactively identifies risks, data issues, metric drift, and emerging opportunities within assigned domains, and communicates them with appropriate urgency.
Translates scoped project objectives into actionable workplans, milestones, and deliverables, proactively managing dependencies, risks, and follow-up.
Maintains strong documentation of data definitions, business logic, known caveats, and SOPs so solutions remain trustworthy and scalable.
Coaches end users on how to interpret dashboards, use standard tools, and apply insights in day-to-day operational decision making.
Adheres to pre-defined use-cases of AI-enabled tools to accelerate research, summarization, and exploratory analysis while applying sound judgment, responsible data governance, and validating accuracy, logic, and business appropriateness before use.
Performs other duties as assigned and modified at manager’s discretion.