Top Healthtech Data & Analytics Jobs

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Supports the design, documentation, and maintenance of data models, ingestion patterns, lakehouse structures, schemas, data dictionaries, and lineage. Assists with data governance, quality validation, sensitive-data classification, pipeline monitoring, and source-system impact analysis. Collaborates with engineers, analysts, data scientists, and business stakeholders to translate requirements into effective data designs and improve platform standards. This early-career role offers training in healthcare data architecture and Epic systems.

Develops and maintains data-driven reporting solutions and client-facing presentation decks. Translates business and clinical reporting needs into requirements, collaborates with technical and data teams, builds reusable templates, analyzes complex healthcare metrics, validates outputs, and manages solutions through design, testing, implementation, and maintenance. Provides consultative support, presents findings to stakeholders, mentors colleagues, and uses databases, statistical tools, and reporting applications to support business decisions.

Develop and maintain Qlik Sense and Power BI dashboards, reports, data models, ETL processes, and analytics solutions. Support reporting and data migrations to Qlik Cloud and Google Cloud Platform, optimize query and dashboard performance, validate data, troubleshoot issues, and collaborate with stakeholders, data engineers, and project teams. This contract role requires onsite work in Nashville, Tennessee.

Performs descriptive and prescriptive analytics on healthcare transaction data, including data extraction, cleaning, feature creation, exploratory analysis, validation, dashboarding, and reporting. Translates business questions into analytic tasks, supports product discovery and MVP prototypes, profiles data sources, reviews ETL processes, and documents reproducible methodologies. Partners with engineering, product, analytics, and commercial teams while maintaining data privacy, governance, quality, and clear communication for technical and non-technical audiences.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Analyzes pharmacy and medical data by creating complex queries, reports, visualizations, KPIs, and management presentations. Interprets findings, recommends improvements, supports cross-functional projects, documents reporting processes, and trains junior analysts. The role requires extracting data from warehouses using advanced SQL or SAS, synthesizing multiple data sources, and communicating insights in a healthcare environment.

Own and scale automated patient-data ingestion and transformation pipelines from EMR systems into clinical-trial matching workflows. Design reliable asynchronous, queue-based, containerized architectures; manage schemas, validation, data quality, monitoring, and production issues. Partner with AI and product engineering teams on healthcare data foundations, APIs, scalability, and trustworthy clinician-facing workflows. Operate autonomously in a startup environment while applying strong systems thinking and pragmatic technical judgment.

Oversee enterprise pharmaceutical master data governance, including clinical and regulatory classifications, data dictionaries, validation rules, formulary alignment, third-party data integration, and exception resolution. Translate pharmacy and regulatory requirements into scalable data solutions, validate data quality, support modernization initiatives, and produce reports for procurement, billing, inventory, dispensing, and other business functions. Serve as the subject matter expert for clinical and product datasets.

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.