Top Remote Analysis Reporting Jobs in Madison, WI

The Senior Business Analyst collaborates with stakeholders to optimize Oracle Fusion solutions for Supply Chain Management, focusing on Order Management and Procurement, ensuring process integration and functionality. Responsibilities include requirements gathering, configuration, testing, and supporting post-go-live improvements.

The Senior Data Analyst will analyze financial data, build SQL datasets, develop dashboards in Tableau or Power BI, and support Finance teams in decision-making processes.

The role involves project management, efficiency analysis, quality assurance, and systems management with a focus on improving operational workflows and processes.

The role involves designing scalable data architectures, developing data pipelines, engaging with stakeholders, ensuring security and governance, and leveraging AI tools for data processing in the Databricks environment.

The Junior Manual QA Engineer will execute test cases, perform exploratory testing, document bugs, and collaborate with teams to ensure high-quality software. This role involves learning QA methodologies and improving testing processes alongside experienced professionals.

Build and maintain cloud data pipelines and ML feature/model workflows in Snowflake and AWS. Implement data ingestion, transformations, quality checks, monitoring, and documentation. Collaborate with data scientists, analysts, and product teams to support analytics, audience insights, rapid prototyping, and reliable production deployments.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

Execute financial models and pharmacy claims analyses to support underwriting for sales bids, present results to stakeholders, recommend pricing adjustments, drive pricing research, improve processes, and run quality control on analyses.

Lead data architecture and strategy across product, data science, and engineering. Design cloud-centric, scalable data models, ETL/ingestion, governance, and AI/ML-ready analytics. Guide tooling selection, proofs-of-concept, data storage decisions, security/compliance, documentation, and mentor Data Platform team members to operationalize mission-critical data solutions.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.