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Virtual Data Analyst Jobs in Tulsa, OK (NOW HIRING)

The tech lead will follow and contribute to best practices and virtual data architecture standards ... Establish a data delivery platform as a foundation for reporting, BI, and analytics using Denodo. b.

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... Virtual Ware * Tech Teams - Development, Data, Infrastructure, Contractors, and Professional ...

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... Virtual Ware * Tech Teams - Development, Data, Infrastructure, Contractors, and Professional ...

This role involves monitoring, maintaining, and provisioning physical and virtual IT infrastructure ... data analysis, heavy customer contact via phone and frequent in-person meetings. Must be able to ...

This role involves monitoring, maintaining, and provisioning physical and virtual IT infrastructure ... data analysis, heavy customer contact via phone and frequent in-person meetings. Must be able to ...

This role involves monitoring, maintaining, and provisioning physical and virtual IT infrastructure ... data analysis, heavy customer contact via phone and frequent in-person meetings. Must be able to ...

This role involves monitoring, maintaining, and provisioning physical and virtual IT infrastructure ... data analysis, heavy customer contact via phone and frequent in-person meetings. Must be able to ...

AP Chemistry Tutor

Tulsa, OK · Remote

$18 - $40/hr

... data. Adapts instruction using molecular models, virtual lab simulations, and AP-style free-response practice to support students building from general chemistry toward college-level analytical and ...

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Virtual Data Analyst information

See Tulsa, OK salary details

$31.1K

$75.5K

$124.2K

How much do virtual data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for virtual data analyst in Tulsa, OK is $75,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Virtual Data Analyst?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What is a Virtual Data Analyst job?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What are the key skills and qualifications needed to thrive in the Virtual Data Analyst position, and why are they important?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Tulsa, OK? The most popular types of Data Analyst jobs in Tulsa, OK are:
What are popular job titles related to Virtual Data Analyst jobs in Tulsa, OK? For Virtual Data Analyst jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Virtual Data Analyst jobs in Tulsa, OK look for? The top searched job categories for Virtual Data Analyst jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Virtual Data Analyst jobs? Cities near Tulsa, OK with the most Virtual Data Analyst job openings:
Infographic showing various Virtual Data Analyst job openings in Tulsa, OK as of July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $75,481 per year, or $36.3 per hour.

Denodo Developer

Kanak Elite Services Inc

Tulsa, OK • On-site

Contractor

Re-posted 17 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Denodo Engineer with our esteemed client. If you are interested then please share your updated resume ay Himanshu01@kanakits.com .

Job Description

Position           : Denodo Engineer

Location          : Tulsa, OK Hybrid

Duration         : Long term contract


JOB SUMMARY   
Consultant-minded technologist who is comfortable with driving change. Must be solid problem solvers, with proven ability to operate and deliver in a fast-paced, dynamic environment, all the while meeting our meet high-quality standards. 
The Denodo engineer is responsible for requirements gathering, data architecture, integration guidance and developing support artifacts. This resource has skills and experience building a sustainable BI platform. The tech lead will follow and contribute to best practices and virtual data architecture standards.  They will lead and support development efforts, manage BI demand, prioritize and lead the scoping effort. The ideal candidate has the ability to mentor others in maintainable development practices and code reviews. This person will demonstrate an ability to manage complex, high-quantity and potentially contradictory information to effectively solve problems, applies knowledge of the business to advance organizational goals, and intuitively navigates complex policy, people and process-related organizational dynamics.  
Essential Functions
1.    Engagement
a.    Collect feedback and influence users and stakeholders to prioritize and develop data-centric work products and support requests.
b.    Work with internal (IT technical and functional) and external (vendor) partners to source, review, and deliver data-related solutions for projects.
c.    Create and track KPIs for enterprise data virtualization service capability to share with management and user community.
d.    Ability to drive the architecture, design along with experience in leading the team technically
2.    Architecture
a.    Establish a data delivery platform as a foundation for reporting, BI, and analytics using Denodo.
b.    Ensure data security is maintained throughout the user, application, platform, and data layers.
c.    Design integration with front-end tools (Power BI, custom apps) and back-end applications and data (APIs , SQL server, Oracle, etc).
3.    Development
a.    Maintain and extend agile data development methodology in support of both self-service and full-service models.
b.    Create reusable semantic and report-specific data layers that are secure and performant.
c.    Develop techniques for optimizing solutions, including caching, refactoring, performance, and testing. 
d.    Define data catalogues.
4.    Admin/Support
a.    Troubleshoot issues that may occur within the data platform or in consuming apps/tools and data sources.
b.    Ensure SLAs are developed and met for response and resolution times for business-critical data platform.
c.    Establish and implement operations (e.g. monitoring and logging) to keep platform (multiple Windows servers) stable and up to date (i.e. quarterly updates and periodic upgrades).
Experience required:
-Good understanding and experience in Data Virtualization
-At least 3+ yrs. of experience with Administration and development in Denodo. Administration experience to include installation, configuration, security, cache management in a highly available enterprise environment.
-Understanding of LDAP, SSL and other security concepts. 
-Good knowledge of JDBC, XML and Web Services APIs. 
SAP and general system knowledge of CDS views, BW queries and Hana database. 
-Working knowledge of combining Hana, SQLServer, Amazon S3 and APIs
-Validate and ensure non-functional requirements (e.g. system performance) are in place
-Access definitions - APIs, querying other access methods; ODTA standard protocols implementation, security.
-Good knowledge of query optimization and analysis of SQL execution plans in context of heterogeneous joins. 
-Expert knowledge in data architecture and modeling.
-Solid understanding of SQL and good grasp of relational and analytical database management theory and practice.
-Other experience of DW/BI is a plus. 
-Experience working with GIT or other version control systems.