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Freelance Python Data Analysis Jobs in Connecticut

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Write efficient and scalable code using Python and related frameworks. * Use SQL to query, transform, and analyze structured data. * Collaborate with cross-functional teams including product ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

Icon Health

Senior Data Analyst

Stamford, CT · Remote

$91K - $115K/yr

Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

STI

Data Scientist

Hartford, CT · On-site

... SQL, Python, R, and Scala • Using analytics software and platforms (GA, GTM, SPSS, Excel ... Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION ...

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Freelance Python Data Analysis information

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, 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 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 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 Connecticut? The most popular types of Python Data Analysis jobs in Connecticut are:
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What cities in Connecticut are hiring for Freelance Python Data Analysis jobs? Cities in Connecticut with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you

Python Data Engineer

Texas State Library and Archives Commision

Hartford, CT • On-site

$115K - $138K/yr

Contractor

Posted 29 days ago

Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.

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