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Freelance Python Data Analyst information

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$11

$28

$53

How much do freelance python data analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for freelance python data analyst in Lake Jackson, TX is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $31.97 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as a freelance Python data analyst?

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.

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.

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.

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For Freelance Python Data Analyst jobs in Lake Jackson, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analyst jobs in Lake Jackson, TX look for?

The top searched job categories for Freelance Python Data Analyst jobs in Lake Jackson, TX are:

What cities near Lake Jackson, TX are hiring for Freelance Python Data Analyst jobs?

Cities near Lake Jackson, TX with the most Freelance Python Data Analyst job openings:

Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in Lake Jackson, TX 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, with an average salary of $59,492 per year, or $28.6 per hour.

Junior Data Engineer & Analyst

SLSCO Ltd.

Galveston, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Junior Data Engineer supports the design, development, and maintenance of the data pipelines, integrations, and data models that power reporting and analytics across our construction and disaster-recovery programs. Working alongside senior data engineers, analysts, and IT staff, you will move data from source systems—project management, ERP/accounting, timekeeping, field-capture, and government reporting platforms—into clean, well-structured datasets that leaders and clients can trust. This is a hands-on, growth-oriented role ideal for an early-career engineer who wants to build real production data systems in a mission-driven environment.

Key Responsibilities
  • Build & maintain pipelines. Develop, test, and maintain ETL/ELT data pipelines that ingest data from internal systems and third-party sources into our data warehouse/lakehouse, under the guidance of senior engineers.
  • Integrate via APIs. Connect to and pull data from REST APIs and vendor platforms (project management, financial, HR/timekeeping, and government reporting systems), handling authentication, pagination, and scheduled refreshes.
  • Write & tune SQL. Author and optimize SQL queries, stored procedures, and views to transform, join, and aggregate data for downstream reporting.
  • Develop in Python. Write clean, reusable Python for data ingestion, transformation, validation, and automation of routine data tasks.
  • Support the Microsoft/Azure stack. Help build and operate pipelines and datasets using tools such as Azure Data Factory, Azure SQL / SQL Server, Azure Storage, and Microsoft Fabric/Synapse, feeding Power BI reporting.
  • Ensure data quality. Implement validation checks, monitor pipeline runs, troubleshoot failures, and help resolve data discrepancies so program and financial reporting stays accurate.
  • Model data for analytics. Assist in designing and maintaining dimensional models and reporting tables that reflect how projects, funding sources, cost codes, and geographies relate.
  • Document & collaborate. Maintain clear documentation of data sources, pipelines, and definitions; use version control (Git) and participate in code reviews.
  • Partner with the business. Work with project controls, accounting, program management, and compliance teams to understand data needs and support their reporting requirements.
  • Protect sensitive data. Follow security, privacy, and compliance practices appropriate to government contracting and sensitive project data.
Required Qualifications
  • Bachelor's degree in Computer Science, Data/Information Systems, Engineering, Mathematics, or a related field—or equivalent practical experience or relevant certifications.
  • 0–2 years of experience (including internships, co-ops, or academic projects) working with data pipelines, databases, or analytics.
  • Working knowledge of SQL, including joins, aggregations, and basic query optimization.
  • Proficiency in Python for data manipulation and scripting (e.g., pandas, requests, or similar libraries).
  • Familiarity with consuming REST APIs and working with structured data formats such as JSON and CSV.
  • Exposure to at least one cloud data platform—Microsoft Azure preferred (Azure Data Factory, Azure SQL, Synapse/Microsoft Fabric)—with willingness to grow deep expertise in the Microsoft/Azure ecosystem.
  • Strong problem-solving skills, attention to detail, and a willingness to learn.
  • Clear written and verbal communication and the ability to collaborate across technical and non-technical teams.
  • Ability to work on-site at the Galveston, Texas headquarters.
  • Must be able to pass a background check; U.S. work authorization required (some government projects may require the ability to obtain a security clearance).
Preferred Qualifications
  • Hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse, or Power BI.
  • Familiarity with version control (Git) and basic CI/CD concepts.
  • Experience with data warehousing concepts and dimensional (star-schema) modeling.
  • Exposure to construction, engineering, ERP/accounting (e.g., Sage, Viewpoint/Vista), or project-management systems (e.g., Procore), or to government/grant reporting.
  • Interest in geospatial data (GIS) given the field- and location-based nature of our projects.
  • Relevant certifications (e.g., Microsoft Azure Data Fundamentals / DP-900, DP-203).

Sullivan Brothers Family of Companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of responsibilities, duties, or qualifications, which may change at the company’s discretion.