Top Data & Analytics Jobs

Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

The Business Analyst leads requirements management and testing for technology delivery, ensuring traceability, compliance, and effective communication among stakeholders while addressing project risks and issues.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

Lead end-to-end optimization strategy for eCommerce clients by designing measurement frameworks, analyzing GA4/Shopify data and experiments, prioritizing roadmaps, running A/B tests, building dashboards, and telling data-driven stories that influence stakeholders and drive conversion, revenue, LTV, and retention.

Support CBP Power Platform by developing and maintaining Power BI dashboards, cleaning and analyzing data, managing Excel/SharePoint/SQL data structures, building ETL processes to migrate legacy data to modern databases, and replacing legacy ETL tools with Power Automate. Present findings to stakeholders.

Conduct business and data analysis, capture and document requirements, map processes, support configuration and testing (UAT, end-to-end), run training and go-live activities, produce SOPs and job aids, identify gaps/risks, and align solutions with business capacity in an agile environment.

Lead end-to-end marketing and customer analytics: provision and clean data, explore and model (clustering, forecasting, driver models), build ML models and experiments, create dashboards and visualizations, present recommendations to clients, document data architecture, and mentor junior analysts.

The Principal Data and AI Architect will lead the technical design of MSIG USA's enterprise data and AI architecture, oversee platform decisions, and ensure scalable and secure integration patterns. Responsibilities include defining architecture strategies, overseeing data governance, and collaborating with business leaders to align technical direction with organizational goals.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

The Research Data Manager oversees research datasets, quality assurance, compliance with HIPAA, and collaborates with clinical researchers to ensure effective data management.