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Top Data & Analytics Jobs in Dayton, OH

1,487+ Job Results
2 Days Ago
Dayton, OH
Remote
2,506 Employees
83K-107K Annually
Expert/Leader
2,506 Employees
83K-107K Annually
Expert/Leader
Healthtech
The Sr. Data Analyst will analyze large-scale data sets to identify trends and performance metrics, develop enterprise-wide data analysis and reporting solutions, provide analytical support across departments, ensure data quality, and assist in software development and sales processes.
2 Days Ago
Dayton, OH
Remote
300 Employees
63K-87K Annually
Mid level
300 Employees
63K-87K Annually
Mid level
Healthtech • Pharmaceutical
The Data Analyst at Vetsource is responsible for using a data warehouse to build models and dashboards that provide insights. They will normalize messy datasets, understand clients' business needs, optimize SQL queries, and visualize findings with Looker/PowerBI, while also suggesting process improvements and designing KPIs.
2 Days Ago
Dayton, OH
Remote
3,739 Employees
Junior
3,739 Employees
Junior
Professional Services
The Billing Analyst manages the billing process, ensuring accuracy and timeliness. Responsibilities include generating invoices, preparing reports, maintaining client billing guidelines, and providing high-quality customer service. This role also involves troubleshooting electronic billing issues and managing unpaid funds.
2 Days Ago
Dayton, OH
Remote
8,686 Employees
95K-143K Annually
Senior level
8,686 Employees
95K-143K Annually
Senior level
Appliances • Industrial • Manufacturing
As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.
2 Days Ago
Dayton, OH
Remote
1,656 Employees
Senior level
1,656 Employees
Senior level
Fintech • Software • Financial Services
The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.
2 Days Ago
Dayton, OH
490 Employees
Entry level
490 Employees
Entry level
Appliances
The Data & KPI Analyst collects, analyzes, and interprets large datasets to provide actionable insights for decision-making. The role involves developing KPIs, creating reports and dashboards with tools like Tableau and Power BI, ensuring data accuracy, and collaborating with cross-functional teams to drive business performance improvements.
2 Days Ago
Dayton, OH
Remote
191 Employees
Senior level
191 Employees
Senior level
Database
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
2 Days Ago
Dayton, OH
Remote
90 Employees
110K-140K Annually
Mid level
90 Employees
110K-140K Annually
Mid level
Information Technology
As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.
2 Days Ago
Dayton, OH
Remote
1,500 Employees
Junior
1,500 Employees
Junior
Fitness • Healthtech
The Reporting Analyst at Headspace is responsible for creating custom reports, monitoring service delivery against SLAs, and identifying process improvements. This role requires strong analytical skills and proficiency in data visualization and reporting tools to support the Client Success team effectively.
2 Days Ago
Dayton, OH
Remote
850 Employees
Senior level
850 Employees
Senior level
Healthtech • Social Impact • Software
The Business Analyst will lead the implementation of data integrations for payments customers, guide them through the claims integration process, and manage technical support for ambiguous projects. They will document business processes, identify opportunities for scaling efficiencies, and provide expertise in data integration with a focus on improving operations and go-live processes.
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