Top Analysis Reporting Jobs in Portland, ME

Lead administration, tuning, maintenance, security, backup and recovery, replication, and optimization of mission-critical databases supporting federal healthcare operations. Collaborate with developers, architects, analysts, security teams, operations, and vendors to ensure performance, scalability, data integrity, compliance, and secure PHI/PII handling. Support database migrations, upgrades, monitoring, auditing, and cross-system validation in cloud and integrated environments.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.

Leads data operations and governance for a large cloud modernization program. Oversees data platforms, pipelines, integrations, analytics environments, incidents, service requests, releases, performance, resilience, and data quality. Coordinates cloud, engineering, application, cybersecurity, and infrastructure teams; maintains operational documentation, dashboards, metrics, and risk logs. Partners with governance and engineering teams to implement metadata, lineage, stewardship, automation, CI/CD, observability, and SRE practices. Leads personnel, manages escalations, briefs executives, and drives continuous operational improvement.

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

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.

Design, build, and maintain Keboola-based data pipelines integrating multiple business systems to deliver accurate, scalable data for supply chain, logistics, and transportation analytics; collaborate with analysts and engineers; support documentation, governance, and pipeline automation.

Performs complex commercial insurance data analysis, develops business recommendations, improves reporting processes, communicates insights to partners and senior management, and supports strategic initiatives. The role requires strong statistical, analytical, coding, and data visualization skills, along with insurance knowledge, cross-functional collaboration, mentorship, and occasional travel.

Supports IAA’s vehicle enhancement and make-ready program through recurring dashboards, baseline metrics, cost and vendor analysis, SLA tracking, workflow documentation, and process improvement. Identifies trends, risks, bottlenecks, and billing inefficiencies while preparing actionable recommendations and leadership materials to improve margin, cycle time, seller experience, and operational execution across branches and regions.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.

Leads and develops a team of Conversion Data Analysts, owning workload prioritization, delivery quality, and performance outcomes. Uses KPIs and data to identify risks, guide decisions, and improve high-volume conversion workflows. Partners with project management, Engineering, Product, Support, and leadership to ensure accurate data mapping and successful customer onboarding. Requires people leadership, SQL, Excel, data validation, CRM, and conversion tooling experience.

Analyze operational data, build and maintain reporting models, KPIs, dashboards and scorecards. Provide actionable insights to improve network performance and customer experience. Prepare presentations for leadership, collaborate with cross-functional teams, and recommend operational efficiency improvements while maintaining BI best practices and continuing education.

Supports reporting, data analysis, dashboard development, data collection, quality assurance, and data warehousing initiatives. Cleans and analyzes data, generates actionable insights, communicates findings to nontechnical stakeholders, responds to data requests, and partners with KIPP program teams. The role also contributes to network events, team operations, and equity-focused culture development.