Top Data & Analytics Jobs in Cleveland, OH

Architects and develops the enterprise BI semantic layer, including governed data models, reusable datasets, business metrics, data-level security, and performance optimization. Establishes modeling, documentation, certification, and lifecycle standards; partners with data engineering, architecture, BI developers, and business owners to deliver scalable reporting solutions. Evaluates emerging BI and AI-driven analytics capabilities, mentors developers and self-service users, and ensures consistent, secure, trusted data across the organization.

Maintain investment data integrity through validation controls, data quality improvements, transaction implementations, analytics tool support, and process automation. Investigate data issues, identify root causes, recommend resolutions, and support migration to an investment data warehouse. Collaborate with investment teams, IT, Accounting, and other corporate partners while maintaining procedures and supporting concurrent projects. The role requires fixed-income investment knowledge and experience with Bloomberg, BlackRock Aladdin, Excel, Power BI, SQL, Snowflake, and Python.

Leads a database team responsible for architecting, installing, securing, monitoring, and maintaining Oracle, SQL Server, PostgreSQL, MySQL, and cloud database environments. Ensures availability, performance, and compliance with Army security requirements; applies DISA STIGs, conducts Security Readiness Reviews, documents POA&Ms, schedules deployments, and mentors database professionals.

Designs, develops, and manages enterprise cloud data platforms using Snowflake, Python, and SQL. Builds automated ELT/ETL pipelines, medallion architectures, data warehouses, lakehouse solutions, and data models. Leads legacy-system migrations, data governance, metadata and lineage management through Alation, data quality frameworks, reporting datasets, and architectural documentation. Requires strong expertise in Snowflake, SQL, Python, data modeling, structured and semi-structured data, and modern cloud data practices.

Lead a team delivering actuarial statistical reporting, regulatory submissions, and analytics. Ensure compliance with bureau requirements, drive automated reporting and UAT for policy/claims systems (Guidewire, Solartis), partner with actuarial, technology, and vendors, and manage stakeholder/regulator interactions while mentoring staff and improving data governance and reporting processes.

Develop data and analytics solutions for the supply chain organization. Responsibilities include collecting, cleaning, and analyzing data; creating digital products and visualizations; collaborating with business units to meet requirements; presenting solutions; and training end users. The intern will also support continuous improvement initiatives and gain exposure to analytics application development and supply chain operations.

Prepare, edit, format, and quality-review client-facing documents, reports, proposals, and presentations. Clean, validate, organize, and analyze data in Excel using formulas, tables, pivot tables, and supporting schedules. Manage competing production requests, coordinate with team members, document processes, and identify workflow and template improvements while ensuring accuracy, consistency, and professional presentation.

Own data and risk enablement across source systems, pipelines, governance, and feature stores. Translate risk and business needs into scalable data requirements, improve pipeline quality and reliability, establish definitions and lineage, and promote reusable, governed features. Partner across data science, risk strategy, engineering, technology, and business teams to resolve data issues, prioritize platform enhancements, and support trusted analytics, modeling, and risk decisioning.

Supports the Office of Strategy Management by developing enterprise performance reports, dashboards, portfolio analytics, and quarterly insights. Conducts strategy research, synthesizes findings for leadership, administers time-tracking processes, and performs data quality assurance across project and portfolio tools. The role also troubleshoots routine issues, identifies process improvements, manages recurring reporting cycles, and communicates risks and recommendations to stakeholders.

Lead the data migration practice and analysts, owning complex customer migrations from legacy legal and accounting systems through go-live. Build C# and SQL conversion tooling, troubleshoot databases and cloud servers, document migration logic, and guide nontechnical customers through exports. Support AWS and Azure SOC 2 controls, data residency, retention, and AI-assisted development.