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Remote Data Analyst Jobs in Oklahoma (NOW HIRING)

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

... analyzing and managing In-Line Inspection data for the Natural Gas Liquids, Natural Gas Pipeline ... The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday.

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Strong self-management skills with the ability to work independently in a fully remote environment ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

The Senior, Compliance & Monitoring reviews and validates data integrity, collaborates with program ... remote, office, or BDO offices as required Ability to sit for prolonged periods and lift up to 15 ...

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

Strong self-management skills with the ability to work independently in a fully remote environment ... About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Showing results 1-20

Remote Data Analyst information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data analyst in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

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

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Data Platform Analyst

Groendyke Transport, Inc.

Enid, OK • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago


Groendyke Transport rating

5.2

Company rating: 5.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Data Platform Analyst
The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across operations, safety, maintenance, and finance to turn business questions into well-defined requirements and production-ready data solutions using SQL and Python.
What You'll Do
Business Partnership and Solution Design
  • Partner with stakeholders to understand goals, define success criteria, and translate business needs into data requirements (definitions, grain, edge cases, and acceptance criteria).
  • Ask clarifying questions early, present options with tradeoffs, and align on the simplest reliable solution.
  • Identify opportunities to improve processes, data capture, and metric definitions to reduce downstream confusion.

Data Development (SQL and Python)
  • Write and maintain production-grade SQL (queries, views, stored procedures, and functions) to support dashboards, KPI reporting, and operational workflows.
  • Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads, transformations, monitoring, and backfills).
  • Optimize and troubleshoot performance issues in SQL workloads and data pipelines.
  • Debug data issues end-to-end by reconciling across systems, identifying root causes, and implementing preventative fixes.

Data Quality, Documentation, and Reliability
  • Implement data quality checks (completeness, uniqueness, referential integrity, and threshold checks) and automated alerting where appropriate.
  • Document datasets and metrics so definitions are consistent and reusable (business rules, lineage, refresh cadence, known limitations).
  • Improve maintainability through clean design, modular code, version control practices, and clear operational runbooks.

Integrations and APIs (as needed)
  • Work with application owners and vendors to understand source system behavior and data availability.
  • Contribute to API-based data ingestion when needed (authentication patterns, pagination, rate limits, and payload validation).

What Success Looks Like
  • Delivers data products that stakeholders trust, with clear definitions, stable refresh processes, and documented logic.
  • Drives ambiguous requests to resolution by clarifying requirements and proposing solutions.
  • Reduces recurring issues through root-cause fixes, monitoring, and data quality checks.
  • Communicates changes clearly, including what changed, why it matters, and how results can be validated.

Required Qualifications
  • Advanced SQL skills, including complex joins, window functions, CTEs, query optimization, and the ability to read/debug existing SQL code (including stored procedures, functions, and triggers).
  • Python proficiency required, including building data pipelines and automation using common libraries (e.g., pandas) and writing maintainable code.
  • Ability to translate business needs into technical solutions and drive work through delivery.
  • Experience working with structured data models and understanding concepts such as grain, dimensions, and consistent metric definitions.
  • Strong communication skills with both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience with SQL Server and Microsoft data tooling (or equivalent enterprise data stack).
  • Exposure to REST APIs and common integration patterns.
  • Experience in operational environments where data supports real-time or near-real-time decisions.

Benefits
We offer a comprehensive benefits package, including health coverage, a 401(k) plan with employer match, and paid time off.

What Groendyke Transport employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Groendyke Transport logo

About Groendyke Transport

Sourced by ZipRecruiter

At Groendyke Transport, we've set the standard of excellence in the tank truck industry since 1932. We're the only carrier in history to win 8 Heil Trophies for the nation's best overall safety record and program. It's proof we care about our drivers, the motoring public and the environment. We set a high bar across the board-from our equipment to how we treat our employees, the benefits and pay we offer, and our commitment to superior customer service. When you join Groendyke Transport, you stake your claim as one of the elite.

Industry

Trucking

Company size

1,001 - 5,000 Employees

Headquarters location

Enid, OK, US

Year founded

1932

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