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Freelance Python Data Analysis Jobs in Albany, NY

PNC Bank

Business Analytics Specialist

Schenectady, NY

$52K - $96K/yr

Hadoop/HDFS SQL Python Apache Spark Azure AWS Experience with data visualization and other exploratory data analysis tools is a plus. Qualifications: The ideal candidate will demonstrate: Excellent ...

Excelsior College

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

... and Python or R data frame functions. * Strong understanding of relational database systems and data warehousing concepts. * Strong analytical, research, and critical thinking. * Experience in ...

Excelsior Collage

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

... and Python or R data frame functions. * Strong understanding of relational database systems and data warehousing concepts. * Strong analytical, research, and critical thinking. * Experience in ...

Danaher

Digital Analyst Internships

Albany, NY · On-site

$96K - $113K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Albany, NY

$96K - $113K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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

As of Aug 6, 2026, the average hourly pay for freelance python data analysis in Albany, NY is $58.20, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications 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 backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Albany, NY? The most popular types of Python Data Analysis jobs in Albany, NY are:
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What cities near Albany, NY are hiring for Freelance Python Data Analysis jobs? Cities near Albany, NY with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Albany, NY as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,063 per year, or $58.2 per hour.

ETL/Data Warehouse Architect

Noblesoft Technologies

Albany, NY • Remote

Contractor

Re-posted 10 days ago

Job description

Role: ETL/Data Warehouse Architect

Location: Albany, NY 12236 – Remote but need to do one week onsite per year

Duration: 5 years

Local candidates are preferred 

 
 

MINIMUM QUALIFICATIONS

The Consultant must possess the following minimum qualifications. The proposed candidate must have:

1.    either a) a bachelor of science degree, or equivalent four-year degree, in computer science or related information technology field or b) a masters or doctorate in computer science or related information technology field;
2.    a minimum of four years of experience developing and maintaining a data interchange system interfacing with a wide array of varying data sets including flat file, direct database connection, and eXtensible Markup Language transactions;
3.    a minimum of four years of experience working with ETL tools (e.g., Qlik and Informatica); 
4.    a minimum of four years of experience performing data modeling;
5.    a minimum of four years of experience developing a data analytics ETL environment to support data analytics; and
6.    a minimum of four years of experience coding in Structured Query Language (“SQL”).

 

PREFERRED QUALIFICATIONS

Client will give preference to candidates with the following qualifications:

1.   experience scripting in Python; 
2.  experience in Tableau Server Administration;
3.  experience working with customers in data validation, troubleshooting, or collecting business requirements;
4.  two or more satisfactorily completed statistics courses from an accredited college or one or more year of professional experience using statistics;

5. experience performing database development using SQL or Procedural Language/Structured Query Language (“PL/SQL”);
6. experience developing a data analytics ETL environment to support Tableau visualizations; and 
7.  experience using ETL techniques to support a data analytics program for a government entity.