Top Senior Analysis Reporting Jobs in Portland, ME

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

The ETL Architect is responsible for designing ETL architectures, development, and implementation of data models and warehousing solutions, with a focus on data quality and transformation logic.

The VP of Data will lead the data organization encompassing engineering and analytics, drive strategic insights, improve operational excellence, and integrate AI into workflows while ensuring data governance.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Sales Analytics Manager will oversee sales analytics, implement AI-driven reporting solutions, and partner with various teams to enhance data governance and performance forecasting.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.

Lead a data engineering team building financial analytic datasets: design and deliver ETL/ELT pipelines, optimize performance, enforce data quality and governance, document workflows, mentor engineers, and architect cloud data infrastructure (GCP/AWS/Azure, BigQuery).

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.