Top Data & Analytics Jobs in Portland, ME

Build and own the data platform backbone: design ingestion patterns, Snowflake warehouses, governance, and freshness strategy. Implement reliable batch and streaming pipelines, data quality, observability, and onboarding processes. Lead legacy migrations, create data contracts and SLAs, and apply AI-native tooling to automate debugging, documentation, and operational workflows while partnering with Analytics, Engineering, and vendors.

Lead design and implementation of data models, write optimized SQL at scale, enable semantic layers and AI tooling, manage analytics infrastructure, build frontend data surfaces, and partner with product and engineering to structure source systems for reporting.

Support Sales by administering the TPM system (Exceedra), ensure promotional and financial data accuracy, produce trade analytics and monthly KPI reports, oversee trade compliance and SOX controls, coordinate audits, and partner cross-functionally to optimize trade investments.

Drive revenue operations analytics by building reliable data models and dashboards, querying large datasets in Snowflake, ensuring data integrity across the revenue tech stack, and delivering strategic insights to Sales, Marketing, and Customer Success using Looker, Domo, SQL, and scripting.

Maintain and improve master data for products, vendors, and customers across NetSuite and Salesforce. Ensure data quality and consistency, process tickets, collaborate with cross-functional teams, suggest process improvements, and support business reporting and operations while adhering to data standards.

Build and maintain CS reporting, dashboards, and health score models to identify renewal risk and inform strategy. Deliver executive reporting, collaborate cross-functionally to improve data quality, and develop predictive analytics and longitudinal tracking to reduce churn.

Lead advanced analytics and predictive modeling to improve patient experience and drive financial outcomes. Collaborate with cross-functional teams to mine and analyze complex data, validate models, and present insights to senior leadership. Develop innovative analytical approaches to optimize digital products and programs, ensuring HIPAA-compliant remote work practices.

Lead workforce management strategy and operations for multi-brand contact centers. Manage WFM staff, forecasting, capacity planning, intraday operations, scheduling, analytics, and workforce technology (Genesys, Intradiem). Partner with Operations, Finance, Product, and vendors to drive process standardization, continuous improvement, and service-level attainment while implementing WFM tools and reporting across channels.

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

Own the companys end-to-end data graph, ensure data quality and lineage, and deliver Sigma dashboards and client-facing reports. Act as single owner for triage, prioritization, and translation of business questions into actionable insights, partnering closely with data engineering and business leaders to set standards for production-ready reporting.