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Remote Data Analyst Python Jobs in New York, NY (NOW HIRING)

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Senior/Staff Data Analyst

New York, NY ยท On-site +1

$94K - $118K/yr

  • Retirement

Remote (Europe) Relocation available: Case by case Work pattern: * Remote across Europe, with ... Familiarity with our stack (dbt, BigQuery, Looker, Python) and AI tooling such as Claude Code.

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... AI/data, business operations, recruiting, corporate development, private markets, or ...

Marketing Data Analyst

Raritan, NJ ยท Remote

$45 - $50/hr

... newsletter data to be used for dashboards, structure media data to be used for dashboards ... Proficient in SQL or Python (required) * Proficient in pipeline creation best practices (required)

Data Analyst, Private Markets

Manhattan, NY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst, Private Markets LOCATION: New York City (hybrid) SALARY: $70,000 - $100,000 + Bonus ... Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work ...

Pricing Data Analyst

Bridgewater, NJ ยท Remote

$30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid - 3 days on-site, 2 days remote Hours : M-F 8am-5pm Compensation : $30.00/hr Type : 3-month contract Responsibilities * Support Product Line Management activities across the full product ...

Exceptional skills in Python, SQL, and any other programming language for data analysis and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive ...

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Remote Data Analyst Python information

See New York, NY salary details

$37.2K

$90.4K

$148.8K

How much do remote data analyst python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst python in New York, NY is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What are popular job titles related to Remote Data Analyst Python jobs in New York, NY?

For Remote Data Analyst Python jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Python jobs in New York, NY look for?

The top searched job categories for Remote Data Analyst Python jobs in New York, NY are:

What cities near New York, NY are hiring for Remote Data Analyst Python jobs?

Cities near New York, NY with the most Remote Data Analyst Python job openings:

Data Engineer (Python / Power BI / Cloud) (Remote)

TSG Risk Management

New York, NY โ€ข Remote

$80K - $100K/yr

Full-time

Re-posted 20 hours ago


Job description

Location Requirement

This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

Position Overview

We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.

The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 46+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives