Top Analytics Jobs in Portland, ME
The Billing Analyst manages the billing process, ensuring accuracy and timeliness. Responsibilities include generating invoices, preparing reports, maintaining client billing guidelines, and providing high-quality customer service. This role also involves troubleshooting electronic billing issues and managing unpaid funds.
As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.
The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.
The Data & KPI Analyst collects, analyzes, and interprets large datasets to provide actionable insights for decision-making. The role involves developing KPIs, creating reports and dashboards with tools like Tableau and Power BI, ensuring data accuracy, and collaborating with cross-functional teams to drive business performance improvements.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.
The Senior Reporting & Analytics Analyst at Children’s Wisconsin will analyze complex business problems, provide technical expertise in workforce analytics and reporting, collaborate with HRIS and Finance teams, train end users, and deliver HR-related reports and tools.
The Process Characterization and Technology Scientist will support the Downstream Investigations Team focusing on raw materials. Responsibilities include troubleshooting processes, leading lab studies on manufacturing processes, analyzing data, and preparing technical documents. The role involves working in a biotech lab environment to enhance process knowledge and support medicine production.
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
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