Top Remote Data & Analytics Jobs in Dayton, OH

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.

The Senior Revenue Accountant will manage sales contracts, ensure compliance with ASC 606, perform deal analysis, and assist with financial reporting and audits.

The Compliance Analyst II will manage security audits, collaborate with teams for compliance inquiries, and maintain security policies to manage risks effectively.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

Lead analytics for Sales Performance Management in Business Banking by extracting, analyzing, and visualizing complex data. Deliver actionable insights, recommendations, and reports; partner with stakeholders and technical teams to build validated dashboards and drive business optimization.

Design and implement enterprise data architecture and models using AWS and Snowflake. Build and optimize data pipelines, enforce governance and metadata standards, support analytics and AI/ML initiatives, and collaborate with stakeholders and engineers to deliver scalable data solutions.