Top Remote Data & Analytics Jobs in Columbus, OH

Design, develop, and support the Data Warehouse and reporting systems. Build and optimize SSRS reports, Power BI dashboards, and SQL ETL/queries. Ensure data accuracy, maintain documentation, and mentor team members while collaborating with business units to translate requirements into scalable data solutions.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

Remote Data Entry Clerk responsible for accurate input, updating, and maintenance of data across company systems; performing quality checks, compiling and verifying data, generating reports, maintaining digital filing and confidentiality, meeting quotas/deadlines, and supporting administrative tasks.

Build and maintain low-latency, highly available distributed data systems and services to deliver high-quality data for product, analytics, and ML. Partner with data scientists and product teams to design scalable, observable, multi-tenant data products using batch and real-time processing frameworks. Ensure 24x7 reliability, monitoring, and operational excellence while owning end-to-end delivery.

Build and optimize the Data Foundry: ingest and index structured and unstructured data, implement enterprise search pipelines, tune Airflow DAGs and BigQuery transformations, maintain secure API integrations, enforce RLS/CLS and governance (Dataplex/IAM), and prepare curated datasets and vector/feature pipelines for AI applications.

Lead a team that manages master and client data operations, driving data quality, process improvements, automation, backlog and project execution, performance metrics, and cross-functional coordination to ensure timely, accurate data delivery and operational scalability.

Analyze healthcare and operational datasets to produce and maintain reports, dashboards, and analytics using SQL, Excel, and BI tools. Validate data, document workflows, support regulatory reporting, and collaborate with stakeholders to deliver insights for utilization, cost containment, and performance improvement.

Lead analytics for returns and reverse logistics: build dashboards and automated reporting, measure and optimize warehouse productivity, diagnose refund accuracy and quality, drive cost reductions, build predictive models and anomaly detection, and partner cross-functionally to implement system and process improvements.

Lead pricing strategy and analytics: develop pricing, packaging and monetization recommendations; build forward-looking revenue/volume models; maintain pricing algorithms and reporting; collaborate with Sales, Finance, Marketing and Data teams to implement pricing actions and standardize quantitative outputs.

Own and execute sales performance reporting and pipeline/forecast analytics for SaaS KPIs. Design and maintain BI dashboards (DOMO preferred), automate data feeds and alerts, troubleshoot data discrepancies, perform ad-hoc analyses, and present actionable insights to sales leadership and executives to optimize pipeline, forecasting, and rep performance.