Top Senior Data & Analytics Jobs in Portland, ME

Builds business-critical dashboards, scorecards, reports, and ad hoc analyses using SQL, Python, Excel, Power BI, and Tableau. Analyzes KPIs, identifies trends and root causes, automates recurring reporting, validates data, and translates complex findings into actionable insights for stakeholders and leadership. The role collaborates with data engineers and cross-functional teams to improve reporting workflows, data pipelines, and decision-making.

Own the architecture and standards for a trustworthy BI analytics platform. Design data models, ingestion and transformation patterns, lineage, PII controls, reliability SLAs, observability, schema governance, and cost management. Partner with engineers, analysts, business leaders, Security, Legal, and Compliance; enforce testing, CI/CD, infrastructure as code, and data quality practices. Mentor data professionals and document architectural decisions.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Leads enterprise data-platform architecture for clients using Microsoft Fabric and Azure. Responsibilities include discovery, target-state design, data modeling, migrations, DevOps and CI/CD, governance, security, AI/ML enablement, consulting, pre-sales, technical delivery leadership, mentoring, and development of reusable architecture assets. The role requires hands-on Fabric production experience, enterprise-scale implementation ownership, advanced SQL and Python/PySpark skills, client communication, and travel up to 25%.

Senior Data Manager acquires, validates, integrates, protects, and manages enterprise data throughout its lifecycle. The role develops ETL solutions, data architectures, models, stored procedures, reporting datasets, and visualizations using Databricks, SQL, and cloud technologies. Responsibilities include translating business needs into technical requirements, leading data projects through deployment, analyzing complex data, improving processes, and supporting business decisions through accessible insights.

Designs, builds, tests, and maintains secure, scalable cloud data platforms, pipelines, ETL/ELT processes, data models, data marts, integrations, and reporting services. Supports data migration, archiving, disaster recovery, governance, metadata management, data quality, CI/CD deployments, and performance optimization. Collaborates with architecture, governance, migration, QA, and business teams in an Agile federal environment while maintaining audit-ready documentation and mentoring junior engineers.

Designs, develops, and maintains scalable cloud-based data pipelines and enterprise data solutions. The role covers data ingestion, transformation, orchestration, integration, data lakes, cloud warehouses, batch and streaming processes, performance optimization, governance, and lineage. The Senior Data Engineer collaborates with analysts, data scientists, engineers, stakeholders, contractors, and vendors while mentoring junior staff. Core tools include Databricks, dbt, Azure Data Factory, SQL, Python, and Azure.

Executes and monitors scheduled production data and data exchange processes for internal and external customers. Follows and improves SOPs, troubleshoots issues, monitors resolution progress, communicates results, supports outages and patch validation, and balances competing requests. The role requires SQL and Control-M expertise, healthcare technology experience, independent judgment, customer communication, and availability for 24x7 shifts.

Analyze startup user and product data, identify trends and drivers, and turn findings into strategic recommendations. The role owns key metrics and dashboards, leads analytical deep dives, sizes opportunities, evaluates product tradeoffs, supports roadmap prioritization, and develops external-facing insights about startups in partnership with marketing and communications.