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Freelance Python Data Analysis Jobs in Albany, NY

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 ...

Sr Data Scientist

Albany, NY · On-site

$89.25 - $120.75/hr

You will work closely with data engineers, analysts, software developers and product managers ... Strong capabilities in scripting languages such as Python * Strong problem solving and critical ...

Google Senior Data Engineer

Albany, NY · On-site

$113K - $136K/yr

You will support architecture design, build data pipelines and models, perform analysis, and ... Minimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

New

Senior Data Scientist

Troy, NY · On-site

$150 - $210/hr

The Senior Data Scientist is a principal‑level individual contributor responsible for ... production analytics or ML solutions supporting mission‑critical business processes. * Python ...

New

... production analytics or ML solutions supporting mission-critical business processes. * Python ... Azure Data Factory (Fabric Data Pipelines) * Azure Data Lake Storage * Azure Machine Learning ...

Tableau Data Engineer

Guilderland, NY · On-site +1

$119K - $143K/yr

... self-service analytics on a cloud data platform and Tableau for a State agency client ... Python or shell scripting for pipeline automation and workflow orchestration Nice to Have • ...

Showing results 41-60

Freelance Python Data Analysis information

See Albany, NY salary details

$13

$58

$85

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

As of Aug 16, 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:

What are popular job titles related to Freelance Python Data Analysis jobs in Albany, NY?

For Freelance Python Data Analysis jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analysis jobs in Albany, NY look for?

The top searched job categories for Freelance Python Data Analysis jobs in Albany, NY are:

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:

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.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY • Remote

$117K - $140K/yr

Other

Re-posted 23 days ago


Job description

Job Title: Data Engineer (DBT Specialist)

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
  • Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
  • Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
  • Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
  • Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
  • Monitor pipeline performance and troubleshoot issues across the data stack.
  • Implement and maintain CI/CD practices for analytics engineering.
  • Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience in data engineering or analytics engineering roles.
  • Strong hands-on experience with DBT in production environments.
  • Solid understanding of SQL and data warehousing principles.
  • Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
  • Experience with Python or another scripting language for ETL/ELT tasks.
  • Experience with orchestration tools like Airflow, Prefect, or Dagster.
  • Git proficiency for version control and collaboration.
  • Strong communication and collaboration skills.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.