Top Data & Analytics Jobs in Cincinnati, OH

The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.

The Sales Commission Data Analyst will work with sales leaders on compensation-related projects, develop data-driven solutions for Sales Compensation Plans, analyze data for insights, maintain data models and reporting systems, and collaborate on process improvements.

As a Data Warehouse Analyst, you will focus on data quality, governance, and security by designing complex analyses to identify data quality risks and implement controls in Enterprise Data Warehouse applications. You will collaborate with business teams to standardize data metrics and develop compliance initiatives.

CrowdStrike is offering an internship through the DoD SkillBridge program, seeking motivated technical analysts who want to enhance their skills in cybersecurity. Interns will work in a virtual security operations center, focusing on detecting and responding to cyber incidents in real-time, with a commitment to customer security.

The Sr. Workforce Management Analyst will oversee scheduling, resource allocation, and capacity planning for the Data Services department. Responsibilities include developing forecasting models, providing leadership reports, optimizing project timelines, and coordinating with various teams to analyze data and forecast demand.

As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.

The Data Analytics Partner will analyze People data to enhance strategies related to talent attraction and retention. Responsibilities include building relationships with stakeholders, gathering requirements, creating visualizations, ensuring data accuracy, and assessing the impact of people strategies on business outcomes.

The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.

The Senior Analytics Engineer will connect business needs with technical solutions by creating data marts, collaborating on analytical data models, championing coding standards, and building data pipelines to ensure high data quality. They will work closely with other engineers and business partners to promote data insights and a data-driven culture.