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Remote Data Processing Jobs in Oklahoma (NOW HIRING)

Remote Insurance Agent

Oklahoma City, OK ยท Remote

$60K - $110K/yr

Apply today to start your interview process this week and join one of the fastest-growing teams in ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Remote Insurance Agent

Tulsa, OK ยท Remote

$60K - $110K/yr

Apply today to start your interview process this week and join one of the fastest-growing teams in ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

In order for your application to be correctly processed please sign-in before you apply Internal ... data * Excellent facilitation skills and knowledge of effective group dynamics concepts and ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

Showing results 21-40

Remote Data Processing information

See Oklahoma salary details

$11

$18

$32

How much do remote data processing jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote data processing in Oklahoma is $18.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $20.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Oklahoma? The most popular types of Data Processing jobs in Oklahoma are:
What are popular job titles related to Remote Data Processing jobs in Oklahoma? For Remote Data Processing jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Oklahoma look for? The top searched job categories for Remote Data Processing jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Data Processing jobs? Cities in Oklahoma with the most Remote Data Processing job openings:
Infographic showing various Remote Data Processing job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $38,921 per year, or $18.7 per hour.

Technical Program Manager-Data Solutions

3Core Systems

Oklahoma City, OK โ€ข Remote

$119K - $155K/yr

Full-time

Posted 2 days ago

New


Job description

Technical Program Manager-Data Solutions Title: Technical Program Manager-Data Solutions x 3 Location: 100% Remote (fly to MA once per quarter) The Technical Program Manager, Data Solutions is accountable for the delivering a comprehensive data solution. Data Solutions encompass any combination of DataMart's, tools, reports, dashboard, AI/ML models and metadata as is deemed necessary to meet the business requirements. This person will lead the project Operating Committee, related working groups and the execution of the data solutions roadmap while aligning with data governance policies. The TPM, Data Solutions willdrive implementation of technical tasks while monitoring dependencies and reporting key risks, issues, and blockers. This person willown the integration of role-based and fine-grained data access within individual DataMart's. This role will also serve as the first point of escalation for Data Solutions and Access issues .The Technical Program Manager collaborates withinstitutional leadership and engages with individual stakeholders across central administrations, Departments, Institutes and Labs. Principle Duties and Responsibilities Owning the design, development, and maintenance of scalable data solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs Sets a comprehensive data solutions roadmapto deliver a comprehensive redesign of data models that support systems integrations, align with the institute's data management strategy cross-functional reporting and analytics challenges Leads high level and detailed technical design with senior engineers to create compliant and efficient architecture for enforcing data policies Drives implementation of technical tasks, monitoring key dependencies and reporting risks, issues, and blockers Holds partner engineering teams accountable for setting and delivering ambitious goals that improve competitive practices within their services Identifies inter-workstream dependencies and align on then monitor paths to address them Leads Functional Committees and Working Groups Collaborates with stakeholders to reach foundational decisions Engages with usersacross MIT and all levelsto understand needs, promote data literacy, and improve data offerings Other duties as assigned Qualifications Required At least 7years of experience in data management, data engineering or related rolesincludingtechnical product or program management experience and working directly with leadership, functional and data engineering teams Experience with data management tools and technologies, such as metadata repositories, ETL, ELT, Data Orchestration and API's Experience with BI tools such as Cognos, Tableau or QuickSight Experience in writing complex, highly optimized SQL queries across large data sets Proven success in communicating with business users, technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy Experience managing programs across cross functional teams, building processes, and coordinatingand managingrelease schedules Experience in a complex, decentralized organizations, preferably higher education Preferred 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience Experience modeling and implementing complex data solutions Experience with Data modelling and reporting tools #J-18808-Ljbffr