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 ...
Remote Data Visualization information
See Helena, OK salary details
$43.7K - $51.7K
1% of jobs
$51.7K - $59.6K
14% of jobs
$59.6K - $67.5K
5% of jobs
$71K is the 25th percentile. Wages below this are outliers.
$67.5K - $75.4K
11% of jobs
$75.4K - $83.3K
10% of jobs
The median wage is $88.8K / yr.
$83.3K - $91.2K
14% of jobs
$97.7K is the 75th percentile. Wages above this are outliers.
$91.2K - $99.1K
26% of jobs
$99.1K - $107.1K
3% of jobs
$107.1K - $115K
2% of jobs
$115K - $122.9K
10% of jobs
$122.9K - $130.8K
5% of jobs
$43.7K
$88.7K
$130.8K
How much do remote data visualization jobs pay per year?
As of Jun 15, 2026, the average yearly pay for remote data visualization in Helena, OK is $88,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $99,600.00 per year, depending on experience, location, and employer.
What is remote data visualization?
Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.
What Are Remote Data Visualization Jobs?
A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.
What are the key skills and qualifications needed to thrive as a Remote Data Visualization Specialist, and why are they important?
To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.
How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?
Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.
What is the difference between Remote Data Visualization vs Remote Data Analyst?
| Aspect | Remote Data Visualization | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Computer Science, or related field; proficiency in visualization tools | Degree in Data Analysis, Statistics, or related; strong analytical skills |
| Work Environment | Primarily focused on creating visual representations of data, often using tools like Tableau, Power BI | Analyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software |
| Industry Usage | Used across tech, finance, marketing, and consulting firms for presenting data insights visually | Common in finance, healthcare, retail, and marketing for data interpretation and decision-making |
Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.
More about Remote Data Visualization jobs
What cities near Helena, OK are hiring for Remote Data Visualization jobs? Cities near Helena, OK with the most Remote Data Visualization job openings:
Full-time
Medical, Retirement, PTO
Posted 28 days ago
Groendyke Transport rating
4.3
Based on 8 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.
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