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Remote Python Data Analysis Jobs in Oklahoma (NOW HIRING)

Groendyke Transport, Inc.

Data Platform Analyst

Enid, OK · On-site +1

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making ... Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads ...

SmartLight Analytics

Software QA Analyst II

Tulsa, OK · On-site +1

This position requires expertise in test design, automation frameworks such as Selenium with Python ... Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Strong proficiency in SQL and Python. * Experience with at least one major BI/visualization ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

The Data Scientist will also support A/B testing by validating results, while not owning test ... Python and SQL (BigQuery preferred) * Statistical analysis and experimentation * Proven ability to ...

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Data Platform Analyst

Data Platform Analyst

Groendyke Transport, Inc.

Enid, OK • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Groendyke Transport rating

4.3

Company rating: 4.3 out of 10

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
  • 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

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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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