Top Remote Analysis Reporting Jobs in Cleveland, OH

Design and execute SQL-based ETL processes to migrate legacy public safety data into Mark43. Collaborate with customers, contractors, and internal teams to map legacy schemas, handle edge cases, ensure data fidelity, and improve migration tooling while managing timelines and stakeholder relationships.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.

Lead SAP Data Migration activities for enterprise transformation projects, ensuring data quality, governance, and compliance while collaborating with cross-functional teams.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, integration, and BI solutions. Oversee delivery, establish standards, mentor teams, support presales, and drive measurable business outcomes across technologies like Oracle, Snowflake, Databricks, and Microsoft Fabric.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.