Top Data & Analytics Jobs in Portland, ME

The Data Governance Manager ensures accurate input across Salesforce and manages data governance strategies, reporting, and user support within Retail Media.

The Data Entry Clerk will enter, update, and maintain data in company databases, ensuring accuracy and organization while assisting with administrative tasks.

The RevOps Manager is responsible for optimizing sales execution through data analysis, CRM management, enablement initiatives, and strategic support for growth goals.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

Lead analytics efforts for Affirm's card platform, focusing on payment networks, partnership evaluations, and product strategy. Build measurement frameworks and dashboards to enhance card acceptance and customer satisfaction.

Lead investment strategies for Coinbase Ventures, develop investment thesis, conduct evaluations, and drive strategic projects while serving as a subject matter expert.

Drive IT SOX initiatives, lead assessments, create training, oversee audits, manage stakeholder relationships, and recommend solutions for compliance activities.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Support default management by analyzing mortgage performance, designing operational strategies, and collaborating with cross-functional teams to enhance risk management.