Top Healthtech Data & Analytics Jobs

Coordinates data collection for grant-funded behavioral health initiatives, including scoring, entering, and maintaining clinical data; developing databases; analyzing information; preparing statistical and grant reports; and supporting SAMHSA and NCTSN submissions. The role also provides technical assistance to partners, supports research and manuscript development, and delivers administrative support. This full-time hybrid position requires three days onsite in Springfield, Massachusetts, and candidates must live in Massachusetts or Connecticut.

Provides data and project support for New York’s violent death reporting system. Responsibilities include collecting and reviewing information from coroner, medical examiner, and law enforcement sources; ensuring data completeness; entering information into program and federal databases; conducting on-site data abstraction; supervising staff; and supporting related public health surveillance activities.

Lead CRM, portal, and reporting data delivery for a patient engagement platform. Coordinate data requests, defects, enhancements, releases, requirements, testing, documentation, issue resolution, and stakeholder decisions across Salesforce Life Sciences Cloud, data, engineering, operations, privacy, compliance, and vendor teams. Ensure data model consistency, responsible PHI use, governance, consent, security, and downstream readiness while supporting patient services, enrollment, access, fulfillment, adherence, reporting, and analytics.

Leads Snowflake and dbt data platform architecture, production pipeline reliability, complex healthcare integrations, data governance, security, quality, observability, and cost optimization. Owns critical data products supporting revenue cycle, scheduling, billing, and performance monitoring. Establishes engineering standards, incident response practices, CI/CD improvements, and HIPAA-aligned controls while mentoring engineers and partnering with stakeholders on technical roadmaps.

Supports data quality, reporting, testing, and operational processes across IT and business functions. Collects and validates data, resolves discrepancies, creates reports and dashboards, supports UAT and system implementations, maintains documentation, fulfills data requests, monitors metrics, and assists with governance, compliance, and process automation.

Owns end-to-end data architecture for Lilly's covered-entity pharmacy platform, including canonical models, Databricks lakehouse structure, identity crosswalks, PHI classification, data contracts, lineage, and isolation controls. The role establishes governance and reference architecture, reviews data flows and AI consumption paths, partners with privacy, legal, and engineering teams, and standardizes CI/CD for data, policy, and agent artifacts within the HIPAA-protected environment.

Develops Power BI dashboards, reports, scorecards, and visualizations; builds and maintains SQL queries, data models, and reporting pipelines; validates data accuracy; supports regulatory and operational reporting; partners with clinical and administrative stakeholders; and mentors users on Power BI, data interpretation, and visualization best practices.

Analyzes healthcare quality-measure and payer data, creates enterprise data extracts, and designs ETL solutions using SQL. Develops reports, dashboards, visualizations, and presentations for business and executive stakeholders. Supports Enterprise Data Warehouse optimization, data governance, process automation, data mapping, issue resolution, user acceptance testing, and technical documentation. Mentors junior analysts and communicates project status while ensuring accurate, timely reporting and compliance with healthcare privacy requirements.

Architects enterprise-scale data platforms and cross-domain solutions using cloud ecosystems and modern data technologies. Leads data strategy, architecture, security, governance, integration, optimization, and modernization initiatives. Evaluates emerging AI/ML capabilities, ensures scalable and resilient engineering practices, influences executive stakeholders, and mentors engineering teams. Requires deep expertise in cloud databases, advanced SQL, data modeling, streaming pipelines, orchestration, DevOps, and enterprise data governance.

Designs and develops end-to-end data integration pipelines, enterprise BI data marts, semantic data layers, and analytics solutions. Works with RDBMS, Teradata, Hadoop, and Azure cloud technologies while supporting multiple projects, data architecture initiatives, and business stakeholders. Requires SQL, data analytics, BI architecture, cloud, DevOps, scheduling, and strong communication skills.