Top Senior Analysis Reporting Jobs in Portland, ME

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead design and maintenance of modeled datasets and semantic layers in Snowflake using dbt. Own transformation logic, documentation, testing, and data cataloging. Mentor analysts, partner with engineering, and enable AI-enabled workflows, data quality monitoring, and self-service analytics across diagnostic instrument data.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Manage and improve reporting infrastructure, dashboards, and recurring reports. Partner with cross-functional leaders to define KPIs, validate and reconcile data, deliver ad hoc analyses, automate reporting processes, and support data-driven decisions across sales, operations, customer experience, and field services.

Design, build, and maintain cloud-based big data platforms, pipelines, and tools. Lead scrum teams, implement CI/CD and IaC, apply TDD/BDD, mentor peers, and deliver reliable data processing, quality, and governance solutions to solve risk-related business problems.