Top Data & Analytics Jobs in Tulsa, OK

The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.

The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.

As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.

The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.

As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.

As a Sr. Analyst at CrowdStrike, you will focus on detecting, containing, and remediating cybersecurity incidents across various platforms, performing malware analysis, and providing recommendations based on your findings. You will also engage in incident handling and develop processes to enhance detection and responses to threats.

In this role, the Marketing Data Engineer will architect scalable ETL/ELT pipelines, manage cloud-based data warehouses, and develop data integration solutions. Responsibilities include collaborating with various teams to support analytics, ensure data quality, and optimize performance across data workflows.

The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.

As a Campaign Analyst, you will optimize digital advertising campaigns and ensure operational efficiency by collaborating with multiple teams, creating processes to track campaign outcomes, and developing dashboards for insights. You will leverage data analysis and problem-solving skills to meet client requests and improve data quality across systems.

As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.

The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.

The Senior Analyst is responsible for monitoring unusual banking transactions, using software tools to detect suspicious activity, reaching out to customers for clarification, and documenting findings. This role involves analyzing data patterns, conducting investigations, and adhering to compliance standards.