Top Analysis Reporting Jobs in Cleveland, OH

Support data provisioning, onboarding, validation, and automation for enterprise analytics. Perform hands-on data validation, UAT, data quality assessments, and root-cause analysis. Modernize legacy workflows (SAS) to cloud/big-data solutions (SQL, PySpark), refactor SQL/Python code, automate repetitive tasks, and document changes for auditability while partnering with data scientists and stakeholders.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

The Network Pricing Consultant will analyze provider contract impacts, develop pricing strategies, conduct financial modeling, and manage unit cost budgets.

Analyze end-to-end advisor and client journeys to identify friction, root causes, repeat contacts and rework. Translate interaction and operational data into prioritized, actionable insights, partner across Quality, Operations, Training and Leadership to drive improvements, and create executive-ready dashboards and summaries that demonstrate linkage between insights and business outcomes.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Lead design, build, automation, and maintenance of enterprise reports, dashboards, and Alteryx workflows. Analyze operational and transactional data, produce executive summaries, recommend metrics and process improvements, and own a report portfolio while partnering with stakeholders to drive data-informed decisions.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.