Top Healthtech Data & Analytics Jobs

Leads enterprise data visualization strategy across Finance, Operations, and IT. Manages visualization specialists, establishes dashboard governance, and delivers scalable dashboards and reporting solutions. Partners with executives and technical teams to define KPIs, optimize data models, ensure data integrity, and enable self-service analytics. Supports budgeting, forecasting, and performance management while driving automation, advanced analytics, and adoption of visualization best practices.

Collects, organizes, cleans, and analyzes business data; reviews data accuracy and completeness; prepares reports, dashboards, and summaries; identifies trends supporting business decisions; and maintains spreadsheets and databases. The role is fully remote, includes paid training, and requires strong communication, organization, attention to detail, and independent work capability.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads data engineering strategy and mentors an analytics engineering team. Designs scalable ELT pipelines, warehouse integrations, data models, API ingestion workflows, and data quality frameworks using cloud and database technologies. Conducts exploratory analysis, supports dashboards and analytical solutions, monitors warehouse performance and costs, and ensures data governance, security, and compliance. Collaborates with data scientists, analysts, engineers, and business stakeholders to deliver healthcare analytics solutions.

Designs and maintains ELT pipelines, warehouse integrations, data models, and data quality processes. Collaborates with data scientists, analysts, engineers, and stakeholders to deliver scalable analytical solutions. Responsibilities include data integration, governance, security, performance optimization, exploratory analysis, visualization, and cloud-based API ingestion. Requires strong SQL, DBT, Snowflake, Azure Data Factory, cloud, and scripting experience, plus leadership and communication skills.

Supports product launches and lifecycle management by maintaining accurate master data across PLM, ERP, and global item management systems. The role monitors data integrity, resolves discrepancies, supports product changes and obsolescence, follows regulated data governance procedures, analyzes trends, and recommends process improvements. It also contributes to documentation, training, and scalable data management practices while collaborating with project management, operations, supply chain, quality, and commercial teams.

Manage product master and transactional data across PLM, ERP, and global item management systems. Support product launches, lifecycle changes, and discontinuations while maintaining data accuracy, integrity, quality compliance, and regulatory alignment. Analyze trends, resolve discrepancies, improve processes, document procedures, develop training materials, and collaborate with project managers and cross-functional stakeholders. The role requires business systems and database experience, advanced Excel proficiency, and familiarity with enterprise systems, regulated industries, and data-focused platforms.

Supports product launches and lifecycle management by maintaining accurate master data across PLM, ERP, and global item management systems. The role monitors data integrity, resolves discrepancies, supports data governance and regulatory procedures, analyzes trends, and recommends process improvements. It partners with project management, operations, supply chain, quality, and commercial teams, while contributing to documentation, training, and scalable data management practices in a regulated medical device environment.

Manage product master and transactional data across PLM, ERP, and global item management systems. Support product launches, lifecycle changes, and discontinuations while ensuring data accuracy, integrity, regulatory compliance, and operational readiness. Monitor and resolve discrepancies, analyze trends, improve data processes, maintain documentation and training materials, and collaborate with project managers and cross-functional stakeholders on system setup and change requests.

Lead analysis of operational performance and dashboards, ensuring data accuracy. Design and maintain reports and databases, conduct ad hoc analyses, recommend performance improvements, manage process improvement projects, and mentor junior analysts.

Lead analytics and strategy initiatives by collecting, cleaning, and integrating clinical and operational data. Support enterprise clinical decisions, implement clinical technology platforms, develop project roadmaps, perform ad-hoc analyses, and collaborate across stakeholder groups to drive strategic and policy initiatives that improve clinical performance and care.

Leads data governance and business analysis activities, including requirements elicitation, risk analysis, conceptual data modeling, business glossary and information catalogue development, and governance documentation. Partners with stakeholders and the Solution Architect to develop data architecture frameworks and resolve data issues. Manages changes to enterprise data artefacts and supervises a Data Governance Officer.

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates data ingestion and integrations in Databricks, maintains data dictionaries and lineage documentation, and collaborates with stakeholders and vendors to resolve issues. Supports governance standards, ad hoc analysis, reporting, training, automation, and continuous improvement of commercial data quality processes using SQL and data observability tools.

Develop and manage databases, data warehouses, and ETL/ELT pipelines for client implementations and integrations. Consult with clients to translate technical and data requirements into scalable solutions, ensure data quality, governance, security, and regulatory compliance, and optimize system performance. Collaborate with data integration engineers, business analysts, and software engineers while serving as a primary technical contact for assigned clients.

Conducts deep-dive market analyses covering supply, demand, pricing, competition, regulation, and growth trends. Builds market models, forecasts, dashboards, and executive presentations from public, industry, customer, and internal data. Identifies strategic opportunities, risks, sustainability impacts, and value creation possibilities, then communicates recommendations to senior leadership. The role serves as commercial-team bench strength with a potential path into account management.