Top Data & Analytics Jobs in Dayton, OH

As a Data Engineer at Kustomer, you will enhance the data architecture, streamline data ingestion, and provide insights for product decisions. Responsibilities include writing tools for data classification, conducting data analysis, debugging, and ensuring data pipeline integrity, while collaborating closely with stakeholders for data visualization and best practices implementation.

As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines, integrate external data sources, and leverage advanced techniques like Large Language Models for efficient data management and analysis.

The Senior Data Analyst at Vouch will build foundational data structures, tools, and models to enhance data-driven decisions across various business units. Responsibilities include collaborating with cross-functional teams, developing dashboards, and performing analyses to identify performance drivers, while ensuring data documentation and stakeholder engagement.

As a Part Time Student in Quality/Data Analytics, you will identify and analyze information to support issue resolution, develop tools for data analysis, participate in development assignments, and adhere to project plans and schedules.

As a Senior Data Engineer, you'll design and architect data pipelines and ETL processes, maintain a data lakehouse, implement cloud data strategies, and ensure high performance and availability of data infrastructure. You'll mentor junior team members and collaborate with data science teams to elevate analytics capabilities.

The IT Risk Analyst at Brilliant Earth ensures SOX compliance by developing IT General Controls, conducting risk assessments, managing internal controls, and improving the SOX program. The role involves collaboration with IT, security, and compliance teams, risk management, and communication of compliance findings to leadership.

As a Data Scientist, you will analyze and optimize pricing strategies for subscription products. You'll collaborate with teams to refine pricing, build predictive models, and improve operational efficiencies based on data insights. Your role involves data pre-processing, visualization, and communicating findings effectively across various teams.