Top Remote Data & Analytics Jobs in Cleveland, OH

Develop resource allocation, demand forecasting, and capacity models for Customer Success. Analyze quantitative and qualitative data, identify trends and risks, and translate findings into actionable recommendations. Partner with finance, planning, delivery, and leadership stakeholders to refine assumptions, resolve complex business issues, and support regional implementation. Present insights to senior leaders and manage cross-functional priorities in an ambiguous, fast-paced environment.

Build and maintain dbt transformation models and Power BI semantic layers on Microsoft Fabric. Establish data quality testing, observability, governance, CI/CD, documentation, and access controls. Partner with business and technology stakeholders to define reliable metrics and data products, optimize performance and costs, troubleshoot issues, and mentor analysts and engineers while advancing analytics engineering standards.

Analyzes claims data to identify trends, anomalies, root causes, cost drivers, and operational inefficiencies. Partners with claims, quality assurance, SIU, finance, and leadership teams to define analytical requirements, develop recommendations, improve claims handling, reduce risk, and enhance efficiency. Presents actionable findings to technical and non-technical stakeholders, including adjusters, managers, and executives.

Supports Ballotpedia’s sample ballot lookup app by researching election boundary rules, sourcing and georeferencing maps, creating and formatting shapefiles, entering boundaries into a database, and testing geographic data. The part-time remote internship runs January 11 through May 7, 2027, for approximately 10–20 hours per week. Interns receive weekly coordination meetings and may receive academic credit.

Leads the enterprise data strategy, governance, and data platform for a P&C insurance carrier. Owns the Microsoft Fabric data warehouse and Azure Data Factory pipelines supporting premium and loss data. Builds data governance, quality, lineage, and documentation programs; develops citizen self-service analytics and data literacy initiatives; and leads data engineers, analytics engineers, and analysts. Partners with underwriting, claims, finance, actuarial, compliance, and executive stakeholders to deliver trusted, scalable, and regulatory-ready data capabilities.

Leads Merakey’s enterprise data, analytics, AI, integration, governance, and business intelligence strategy. The Vice President will establish data architecture, governance, master data management, reporting, and advanced analytics capabilities across clinical, operational, financial, and workforce functions. Responsibilities include supporting acquisitions, integrating disparate platforms, developing responsible AI practices, managing vendors, shaping the data operating model, and building high-performing teams. The role partners closely with the CEO, CIO, executive leadership, and business stakeholders to drive enterprise transformation and data-informed decision-making.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Design and maintain scalable AWS-based data pipelines, architectures, ETL/ELT workflows, databases, and big data solutions. Integrate and transform complex datasets using Python, SQL, Spark, Hadoop, and Kafka. Build data models, dashboards, reports, and analytics solutions while implementing data quality, governance, security, monitoring, and compliance processes. Support migrations and modernization projects, collaborating with data scientists, analysts, and business stakeholders to deliver reliable, decision-ready data.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Develop Power BI dashboards, reports, and governed semantic models supporting school operations and student outcomes. Translate stakeholder needs into accessible visualizations, optimize DAX and report performance, implement row-level security, validate data quality, troubleshoot refresh and reporting issues, and support scalable self-service analytics. Collaborate with data engineers, analysts, and business stakeholders throughout requirements gathering, delivery, deployment, documentation, and support while contributing to data governance and reporting lifecycle improvements.