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Freelance Python Data Analyst Jobs in Alabama (NOW HIRING)

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

... Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power Job Summary We ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

B&A

Senior Data Analyst

Huntsville, AL

$80K - $101K/yr

Description Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Bart & Associates

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business ...

DivIHN Integration Inc

HR Data Analyst

Huntsville, AL · On-site

HR Data Analyst Location: Huntsville, AL Duration: 6 Months (For the right individual could be temp ... Python, or R is a plus. • Excellent written, visual, and verbal communication abilities. • ...

Bart and Associates, Inc

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business ...

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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.

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.
What are the most commonly searched types of Python Data Analyst jobs in Alabama? The most popular types of Python Data Analyst jobs in Alabama are:
What are popular job titles related to Freelance Python Data Analyst jobs in Alabama? For Freelance Python Data Analyst jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Alabama look for? The top searched job categories for Freelance Python Data Analyst jobs in Alabama are:
What cities in Alabama are hiring for Freelance Python Data Analyst jobs? Cities in Alabama with the most Freelance Python Data Analyst job openings:
Freelance Python Data Analyst jobs near you

Data Analytics Analyst 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 7 days ago

Job description

Data Analytics Analyst 3

Location:  Birmingham, AL ( HYBRID)

Contract- 3 Years

Client- Alabama Power
 

Job Summary

We are seeking an experienced Data Analytics Analyst (Level 3) with 5–10 years of experience to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization, and the ability to translate complex datasets into meaningful business recommendations.

Key Responsibilities

  • Data Analysis & Reporting

    • Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.

    • Develop dashboards, reports, and visualizations using Power BI and related tools.

    • Apply statistical and analytical techniques to provide actionable insights for stakeholders across utility operations, finance, and engineering.

  • Data Integration & ETL

    • Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.

    • Develop and optimize queries using SQL, Python, DAX, and Power Query.

    • Maintain and improve data pipelines to support ongoing business operations.

  • Business Support & Collaboration

    • Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

    • Support regulatory, financial, and operational reporting requirements.

    • Present findings clearly to both technical and non-technical stakeholders.

  • Innovation & Process Improvement

    • Explore and implement automation and low/no-code solutions to improve reporting efficiency.

    • Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.

Qualifications

  • Education:

    • Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).

  • Experience:

    • 5–10 years of hands-on experience in data analytics, ETL, and dashboard/report development.

    • Strong experience with SQL, Python, DAX, Power Query, and Power BI.

    • Experience with financial data analysis (preferred).

    • Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.

    • Prior experience with Azure, Databricks, or big data technologies is advantageous.