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Freelance Python Data Analyst Jobs in Oklahoma (NOW HIRING)

Improve Data Quality Analyze data across our operational systems and help identify data quality ... Basic Python or similar programming language experience. * Strong Excel skills (pivot tables ...

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 ...

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 ...

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 ...

New

Python Developer - Entry Level

Tulsa, OK ยท On-site

$43.50 - $60/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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Freelance Python Data Analyst information

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What job categories do people searching Freelance Python Data Analyst jobs in Oklahoma look for? The top searched job categories for Freelance Python Data Analyst jobs in Oklahoma are:
Operational Data Analyst

Operational Data Analyst

Revenue Management Solutions LLC

Oklahoma City, OK โ€ข On-site

$60K - $75K/yr

Full-time

Posted 21 days ago


Job description

Job Description


The Operations Data Analyst is responsible for data analysis requests and the support of our internal Operations Teams. Responsibilities include research into processing metrics and exception reduction as well as quality control and cost-reduction insight. This team works alongside Operations, Development, and External Client Teams to define and implement improvements for the day-to-day processing of volume.


Duties and Responsibilities

  • Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
  • Research and develop suggested improvements for production processing efficiency
  • Create, test, and maintain SQL stored procedures alongside a Unit Test environment
  • Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
  • Perform dataset collection for creation of new machine learning processes
  • Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
  • Manage and resolve data extraction inconsistencies per client standard
  • Other duties and responsibilities as assigned


Qualifications

  • 1-3 years SQL and Python
  • Data Analytic/Mining skills required
  • Experience with Jira or similar ticket tools preferred.
  • Experience with version control (GIT, CVS)
  • Experience with query performance tuning preferred
  • Experience troubleshooting in a live production environment preferred
  • Experience with large datasets preferred
  • Experience with high volume and fast turnaround preferred
  • Proficiency in MS Office Suite
  • Understanding of Healthcare claims and payments revenue cycle strongly desired
  • Problem-solving skills
  • Excellent verbal and written communication skills
  • Excellent organizational skills and attention to detail
  • Able to multitask, prioritize, and manage time effectively
  • Attention to detail


Education/Experience

A bachelor's degree in a technical field is not required, but preferred. More than anything, RMS is looking for people who are passionate about technology who want to develop the skills to solve hard and important problems.


Environmental Conditions

Indoor climate-controlled environment. Moderate to quiet noise level


Physical requirements

While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision.


All applicants are subject to a drug screen and background check per company policies