Top Analysis Reporting Jobs in Baltimore, MD

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Research Analyst, you'll drive fundamental research for subscription-based data products, analyze large datasets, and collaborate with teams to offer insights and develop new products.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

The Data Operations Lead will drive data analytics, build reporting pipelines, unify metrics across teams, and foster data-driven decision-making using AI and analytics.

The Senior Analyst will analyze large-scale data to detect fraud, develop monitoring frameworks, and collaborate with teams to enhance fraud strategies.

The Product Analyst will manage the analytics for Document Verification, conducting analyses, building dashboards, and collaborating with cross-functional teams to improve product performance and detect fraud.