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Remote Data Transformation Analyst Jobs in Oklahoma

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Build and maintain data transformations using dbt. * Monitor pipeline health, troubleshoot failures ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

Varsity Tutors

Microsoft Power BI Tutor

Stillwater, OK · Remote

$18 - $40/hr

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Varsity Tutors

Microsoft Power BI Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Varsity Tutors

Microsoft Power BI Tutor

Tulsa, OK · Remote

$18 - $40/hr

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Human Agency

Remote Type: Full-Time Employee for US Candidates; Independent Contractor for Canadian Applicants ... Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar ...

ONEOK, Inc

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.

Zones

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/hr

Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ... Experience with data migration and transformation initiatives. * Strong analytical and ...

Zones LLC.

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/wk

Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ... Experience with data migration and transformation initiatives. * Strong analytical and ...

TEKsystems

Epic Lumens Analyst

Oklahoma City, OK · Remote

$85 - $95/hr

... remote position. Application Deadline This position is anticipated to close on Aug 28, 2026 ... About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to ...

Chloeta

Management Analyst

Oklahoma City, OK · On-site +1

$35 - $40/hr

The Management Analyst gathers, analyzes, and interprets data to develop recommendations that ... Remote / Virtual Travel: Travel up to 50% Compensation: This pay band reflects Chloeta's good faith ...

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Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are popular job titles related to Remote Data Transformation Analyst jobs in Oklahoma?

For Remote Data Transformation Analyst jobs in Oklahoma, the most frequently searched job titles are:

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

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

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

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

Remote Data Transformation Analyst jobs near you
Infographic showing various Remote Data Transformation Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Platform Analyst

Enid, OK • On-site, Remote

Groendyke Transport, Inc.
Trucking • 1 - 5K employees

5.2

Company rating: 5.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

People enjoy working here

Good training

Learn new skills

Learn more about Groendyke Transport, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

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.
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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Pay

Benefits

Hours and flexibility

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