Sr Healthcare/Clinical Data Analytics Lead

United StatesRemoteFull-timesenior

AnalyticsData & AI

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Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Healthcare/Clinical Data Analytics Lead based in the United States.

Technical Tools

AnalyticsData & AI

We are seeking an experienced data analytics leader to transform complex healthcare and clinical data into meaningful insights that support better decision-making and organizational performance. In this remote role, you will partner with clinical teams and business stakeholders to define analytical requirements, develop performance metrics, and ensure the accuracy and reliability of results. You will design innovative reporting solutions, dashboards, and business intelligence tools to evaluate clinical outcomes, resource utilization, financial performance, and operational processes. Combining technical expertise with strategic thinking, you will help establish effective data models, improve analytical practices, and implement data-driven strategies. You will also lead project execution, mentor team members, and communicate findings in ways that make complex information accessible and actionable. This is an opportunity to serve as a trusted analytics advisor while strengthening the organization’s overall data capabilities.

Partner with clinical teams and business stakeholders on large-scale projects, gathering requirements, defining metrics, retrieving data, and validating analytical results.
Apply advanced analytical and statistical methods to assess clinical practices, process performance, patient outcomes, financial results, and resource utilization.
Recommend and develop data solutions, including dashboards, reports, and business intelligence tools, to measure operational processes and clinical outcomes.
Learn and evaluate new information systems, understanding how their outputs contribute to the end-to-end data development lifecycle.
Advise on data modeling approaches, testing frameworks, and documentation standards to improve data quality and analytical reliability.
Translate complex findings into clear, compelling data stories through presentations and communications tailored to different audiences and business needs.
Coordinate assigned projects from definition through completion, including establishing scope, allocating responsibilities, setting deadlines, and monitoring progress.
Identify project risks and obstacles independently, develop solutions, and ensure work remains aligned with established objectives.
Identify, define, and implement data-driven strategies and processes that improve organizational performance and analytical effectiveness.
Communicate work plans, project updates, findings, and interpretations clearly while helping business stakeholders build their analytical capabilities.
Train and mentor team members, sharing technical knowledge and supporting professional development.
Build credibility as a trusted advisor by providing reliable data expertise, strategic recommendations, and practical analytical guidance.

Requirements

~1 min read

Bachelor’s degree in a relevant field.
At least five years of experience in analytics, business intelligence, or a related discipline.
Experience with at least one programming or analytical language, such as R, Python, or SAS.
Proficiency in SQL for data retrieval, querying, and analysis.
Understanding of relational database structures and data organization.
Demonstrated project management experience, including coordinating deliverables, managing deadlines, and resolving project challenges.
Strong analytical, critical-thinking, and problem-solving skills, with the ability to turn complex data into actionable recommendations.
Excellent written, verbal, presentation, and data storytelling skills, including the ability to communicate effectively with both technical and non-technical audiences.
Ability to collaborate across clinical, operational, financial, and business teams while managing multiple priorities.
Preferred: At least eight years of experience in analytics or business intelligence.
Preferred: Experience with data visualization platforms such as Qlik, Tableau, or Power BI.
Preferred: Familiarity with data integration tools such as dbt, Informatica, or Microsoft SQL Server Integration Services (SSIS).
Preferred: Experience working as a data analyst within a healthcare environment.
Preferred: Familiarity with clinical, hospital, or financial applications and information systems.
Preferred: Master’s degree in a relevant field.