Top Remote Data & Analytics Jobs in Portland, ME

Lead data integration efforts: integrate and profile data from multiple sources, cleanse and enrich datasets, perform in-depth analysis, build automated data workflows, write and optimize complex SQL, create Tableau dashboards, produce ad hoc reports, translate insights for stakeholders, and manage UAT to ensure solutions meet business requirements.

Analyze business problems, translate needs into reporting specifications, build and maintain queries, reports and dashboards, partner with teams to resolve data issues, and support process improvements and BI best practices.

Own the Finance & Operations data layer: ingest and model data from systems (NetSuite, Ramp, Pigment) into Snowflake/Omni, ensure data quality and metric governance, build dashboards and reports, collaborate with Finance/Ops stakeholders, and automate reconciliation and reporting workflows.

Own churn analysis, build subscriber behavior models and cohorts, develop retention dashboards and LTV/revenue impact models, tag cancellation reasons, support A/B test design/analysis, ensure data integration from Zendesk/Shopify/Recharge, and present insights to retention leadership.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Support clients using syndicated CPG data and Circana platforms to deliver actionable insights, drive adoption and growth, provide training, collaborate cross-functionally, and meet revenue goals while ensuring client satisfaction.

Senior AWS Analytics Engineer. Posting contains no detailed responsibilities or qualifications beyond the job title.

Lead design and build of Microsoft Fabric data solutions and Power BI semantic models. Migrate Tableau reports to governed Power BI, develop Spark notebooks, implement medallion lakehouse patterns, optimize ETL/ELT and DAX, and support CI/CD and stakeholder validation.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and AI-driven orchestration. Develop Python APIs (Flask/FastAPI), implement advanced SQL transformations (BigQuery), integrate LLMs/agents for automated workflows, and collaborate with Data Science and Product to deliver production-grade, observable, and secure AI-enabled data solutions.

Lead governance of provider data, attribution, and member assignment for Medicaid operations. Ensure data quality, audit readiness, defect remediation, cross‑functional coordination, and reporting to support compliance, provider accountability, and operational reliability.

Translate health plan data into actionable insights using analytics and visualization tools. Collaborate across teams to manage client and broker requests, become a subject-matter expert on internal analytics tools, perform statistical analysis, and communicate findings to improve client plan performance.