Data Platform Analyst
Enid, OK · On-site +1
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 ...
Data Platform Analyst
Enid, OK · On-site +1
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 ...
SIU Investigator I
Billings, OK · On-site +1
$77K - $147K/yr
USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... for analysis from relevant data sources and systems. * Knowledge of city, state and local ...
SIU Investigator I
Billings, OK · On-site +1
$77K - $147K/yr
USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... for analysis from relevant data sources and systems. * Knowledge of city, state and local ...
Remote Data Analyst information
See Enid, OK salary details
$32.8K - $41.8K
4% of jobs
$41.8K - $50.7K
7% of jobs
$50.7K - $59.7K
13% of jobs
$60.2K is the 25th percentile. Wages below this are outliers.
$59.7K - $68.6K
18% of jobs
The median wage is $72.8K / yr.
$68.6K - $77.6K
16% of jobs
$77.6K - $86.5K
13% of jobs
$89.9K is the 75th percentile. Wages above this are outliers.
$86.5K - $95.5K
9% of jobs
$95.5K - $104.5K
5% of jobs
$104.5K - $113.4K
9% of jobs
$113.4K - $122.4K
3% of jobs
$122.4K - $131.3K
2% of jobs
$32.8K
$79.8K
$131.3K
How much do remote data analyst jobs pay per year?
As of Aug 19, 2026, the average yearly pay for remote data analyst in Enid, OK is $79,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $93,700.00 per year, depending on experience, location, and employer.
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 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 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.
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 is the difference between Remote Data Analyst vs Remote Data Scientist?
| Aspect | Remote Data Analyst | Remote Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or Tableau | Bachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning |
| Work Environment | Primarily office-based or remote, focusing on data analysis and reporting | Primarily remote, involving complex data modeling and predictive analytics |
| Employer & Industry Usage | Used across finance, marketing, healthcare, and retail sectors | Common 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.
Are remote data analyst jobs still in demand?
Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.
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.
Can you work remotely as a remote data analyst?
Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Enid, OK?
The most popular types of Data Analyst jobs in Enid, OK are:
What cities near Enid, OK are hiring for Remote Data Analyst jobs?
Cities near Enid, OK with the most Remote Data Analyst job openings:
Full-time
Medical, Retirement, PTO
Re-posted 3 days ago
Groendyke Transport rating
5.2
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
Data Development (SQL and Python)
Data Quality, Documentation, and Reliability
Integrations and APIs (as needed)
What Success Looks Like
Required Qualifications
Preferred Qualifications
Benefits
We offer a comprehensive benefits package, including health coverage, a 401(k) plan with employer match, and paid time off.
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
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