ZipRecruiter

Log In

2

Remote Data Analyst Logistics Jobs in Oklahoma (NOW HIRING)

Chloeta

Management Analyst

Oklahoma City, OK · On-site +1

$35 - $40/hr

The Management Analyst gathers, analyzes, and interprets data to develop recommendations that ... Remote / Virtual Travel: Travel up to 50% Compensation: This pay band reflects Chloeta's good faith ...

NTT DATA Services

Customer Care Associate

Yukon, OK · Remote

$20/hr

Strong ability to analyze, process, and validate transactions based on established rules and ... Technology * NTT DATA will provide a computer and headset for remote work. * Employees are ...

NTT DATA Services

Customer Care Associate

Yukon, OK · Remote

$20/hr

Strong ability to analyze, process, and validate transactions based on established rules and ... Technology * NTT DATA will provide a computer and headset for remote work. * Employees are ...

Harris

Quality Assurance Analyst

Kansas, OK · On-site +1

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

Gainwell Technologies

Business Analyst

Oklahoma City, OK · On-site +1

$51K - $74K/yr

... data and process models * Create, execute or analyze basic test scenarios to verify that client ... Fully remote options from Contiguous US locations only * Video cameras must be used during all ...

previous pagenext page

Showing results 21-40

All JobsData Analyst Logistics JobsRemote Data Analyst Logistics JobsRemote Data Analyst Logistics Jobs in Oklahoma

Remote Data Analyst Logistics information

What does a remote data analyst in logistics do?

A Remote Data Analyst in Logistics is responsible for collecting, analyzing, and interpreting data related to supply chain operations, shipping, inventory, and transportation. They use various analytical tools to identify trends, optimize processes, and help their organization make data-driven decisions to improve efficiency and reduce costs. Working remotely, they collaborate with teams using digital communication tools and often create reports or dashboards to present their findings to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst in logistics?

To thrive as a Remote Data Analyst in Logistics, you need strong analytical skills, expertise in data modeling, and a background in logistics or supply chain management, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, Tableau, and experience with logistics management systems or ERP software is typically required. Excellent problem-solving, attention to detail, and clear communication skills help you work independently and convey insights to cross-functional teams. These capabilities are crucial for optimizing supply chain operations, driving efficiency, and supporting data-driven decision-making in a remote environment.

How does a remote data analyst in logistics typically collaborate with cross-functional teams to optimize supply chain processes?

As a Remote Data Analyst in logistics, you will frequently collaborate with supply chain managers, IT specialists, and operations teams through virtual meetings and shared data platforms. Your role involves interpreting large datasets to identify trends, inefficiencies, and improvement opportunities, and then communicating actionable insights to stakeholders. Regular collaboration ensures data-driven decisions are aligned with organizational goals, and you may also assist in developing dashboards or reports for ongoing performance monitoring. This teamwork is essential in optimizing inventory management, transportation routes, and overall supply chain effectiveness.

What is the difference between Remote Data Analyst Logistics vs Remote Data Analyst Supply Chain?

AspectRemote Data Analyst LogisticsRemote Data Analyst Supply Chain
Required CredentialsBachelor's in Logistics, Supply Chain, or related field; data analysis certificationsBachelor's in Supply Chain Management, Business Analytics, or related; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousingManufacturers, retailers, distribution centers
Employer & Industry UsageLogistics and freight companiesSupply chain and procurement sectors
Search & Comparison IntentFocus on logistics operations and transportation dataFocus on overall supply chain processes and procurement data

Remote Data Analyst Logistics primarily focuses on analyzing transportation, warehousing, and logistics operations, while Remote Data Analyst Supply Chain covers broader supply chain processes including procurement and inventory management. Both roles require similar skills and certifications but differ in industry focus and work environment.

Are remote data analyst logistics in high demand?

Remote data analyst roles in logistics are in high demand due to the increasing reliance on data-driven decision making and supply chain optimization. Skills in data analysis tools like Excel, SQL, and visualization software are highly valued, and the role often offers flexible schedules and remote work options.

Can I work in logistics remotely?

Remote data analyst roles in logistics are increasingly available, especially with the use of data analysis tools like Excel, SQL, and visualization software. These positions often require strong analytical skills and may involve collaboration via online platforms, making remote work feasible for qualified candidates.

Is it possible to work remotely as a remote data analyst logistics?

Remote data analyst logistics roles are increasingly available, allowing professionals to analyze supply chain and transportation data from home. These positions often require proficiency with data analysis tools, such as Excel or SQL, and strong communication skills. Employers may specify remote work options based on company policies and the nature of the logistics tasks involved.

What are the most commonly searched types of Data Analyst Logistics jobs in Oklahoma?

The most popular types of Data Analyst Logistics jobs in Oklahoma are:

What are popular job titles related to Remote Data Analyst Logistics jobs in Oklahoma?

For Remote Data Analyst Logistics jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Logistics jobs in Oklahoma look for?

The top searched job categories for Remote Data Analyst Logistics jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Data Analyst Logistics jobs?

Cities in Oklahoma with the most Remote Data Analyst Logistics job openings:

Remote Data Analyst Logistics jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Broken Arrow, OK • On-site, Remote

$90 - $120/hr

Part-time

Posted 23 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply