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Freelance Python Data Analysis Jobs in Connecticut

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 ...

NEFCO

Product Data Operations Analyst

East Hartford, CT · On-site

$65K - $75K/yr

We are looking for a detail-oriented, technically curious Product Data Operations Analyst to ... Python for data manipulation and automation. * Experience with ETL pipelines, APIs, or FTP/SFTP ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT · On-site

Required: o Superb programming experience in Python o Excellent ML modeling skills o Advanced understanding of predictive and prescriptive analytics and data visualization. o Strong leadership skills ...

Troutman Pepper

Senior Data Engineer

Hartford, CT · Remote

$106K - $145K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...

Troutman Pepper

Senior Data Engineer

Stamford, CT · Remote

$113K - $153K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...

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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.
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Freelance Python Data Analysis jobs near you

Data Scientist

STI

Hartford, CT • On-site

Full-time

Re-posted 20 days ago

Job description

Experience Required for This Role
Data Research & Analysis - at least 3 years of measurable experience in the following:
• Analyzing data and customer metrics to fulfill specific business goals
• Using data to help teams improve functionality and operations
• Developing and applying data models to improve the collection and analysis of data
• Bridging the divide between technical and business teams through data
• Communicating data analysis to various levels of stakeholders through visualizations
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Expertise in the principles and operating procedures of a specific industry
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Creating dashboards and reports that are easy to understand for non-technical users
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Organizing focus groups and feedback loops to establish data collection
• Using data to isolate problems and develop solutions
• Discovering and establishing proper KPIs to help track success
• Preparing and executing ROI analysis
• Establishing testing of products/services based off data analysis
• Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
• Providing insights and recommending changes based on data findings
Knowledge, Skills, and Ability
Data Science
• Experience with machine learning, AI, and cognitive service engine models
• Experience with programming languages like SQL, Python, R, and Scala
• Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Experience using business intelligence tools like Tableau or Power BI
• Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Engaging in data experiments to provide cross-persona or enterprise analysis
• Leveraging statistical analysis and algebra
• Improving research or data management environments
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting processes and modelling
Performance in Complex Situations
• Communication and collaboration with cross-functional teams and state-wide partners
• Clearing challenges for team members
• Comfort in blazing a path through an ambiguous work environment
• Judgement fitting to the ever-changing environment
• Ability to juggle multiple project workstreams
Service Design Team Building
• Supporting teammates' skills and behavior development and delivery
• Advocating data strategies both internally and externally
• A balance between strong domain expertise and flexibility
• Prioritization, organization, and triage in an independent environment
• Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
• Ability to maintain strict confidentiality
• Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
• Deep domain knowledge for a particular industry - especially Health, Business, or Education
• Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
• 2 years of user research and feedback analysis
• 2 years of data governance and working within data security groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as Salesforce
• 1 year of experience with web content management platforms such as Sitecore

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