Top Senior Data & Analytics Jobs in Portland, ME

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Leads enterprise business intelligence architecture, governance, and optimization across Power BI and Microsoft Fabric. Designs semantic models, dataflows, DAX measures, security controls, deployment processes, and reporting standards. Partners with data engineering and business stakeholders to deliver scalable analytics for operational, financial, and executive decisions. Provides technical leadership, mentors BI developers, documents architecture, and advises leadership on platform strategy and future-state analytics capabilities.

Leads multidisciplinary data and analytics teams, setting strategy, standards, priorities, and staffing. Oversees data pipelines, analytical databases, predictive models, reporting workflows, and business intelligence initiatives. Partners with business stakeholders to translate needs into technical solutions, communicate insights, improve processes, and drive business value. Manages recruitment, coaching, performance, retention, and development while advancing analytics adoption and data-driven decision-making across the organization.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Leads Databricks lakehouse delivery across bronze, silver, and gold layers. Designs SAP and manufacturing data models, conformed dimensions, fact tables, governed datasets, and reusable outputs for reporting, forecasting, and AI/BI. Owns data quality, reconciliation, documentation, performance optimization, testing, and engineering delivery standards. Partners with architecture, BI, master data, product, application, and integration teams to onboard sources and deliver trusted data products.

Lead data architecture for NAVSUP OIS, including database design, data modeling, warehouse strategy, ETL/ELT pipelines, migration, security, retention, backup, recovery, and performance optimization. Coordinate cloud and containerized environments, guide data engineers and DBAs, and support modernization from Oracle to cloud and analytical platforms. The role also provides technical leadership, architecture planning, integration, risk assessment, and policy development for mission-critical systems.