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Top Remote Analytics Jobs in Tulsa, OK

680+ Job Results
12 Hours Ago
2 Locations
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.
12 Hours Ago
8 Locations
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.
12 Hours Ago
14 Locations
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.
13 Hours Ago
USA
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.
13 Hours Ago
USA
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.
15 Hours Ago
USA
Remote
1,939 Employees
Mid level
1,939 Employees
Mid level
Pharmaceutical
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
83 Employees
Senior level
Artificial Intelligence • Healthtech • Software
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
16 Hours Ago
8 Locations
Remote
41,866 Employees
Senior level
41,866 Employees
Senior level
Food
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
17 Hours Ago
USA
Remote
64 Employees
Mid level
64 Employees
Mid level
Consulting • Energy
As a Senior Data Analyst, you will process and integrate massive datasets, optimize data processes, and collaborate with business users to understand their analysis needs. You will develop reports, participate in implementing new IT platforms, and ensure data quality while working closely with trading and IT departments.
18 Hours Ago
United States
Remote
414 Employees
109K-147K Annually
Senior level
414 Employees
109K-147K Annually
Senior level
HR Tech • Software
As a CX Operations Data Analyst III, you will utilize data to answer business questions, partner with various departments for optimization, conduct analyses to enhance customer journeys, and collaborate with Data Engineering to integrate data channels. Your role will focus on driving data-driven decisions and improving the customer experience.
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