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

Catholic Health

EMPI Data Analyst

Melville, NY · On-site +1

$60K - $75K/yr

The EMPI Data Analyst is responsible for reviewing, validating, and maintaining data integrity ... Office environment or remote/hybrid, depending on organizational policies. * Must be able to sit ...

Claritev

Temporary Provider Data Analyst

Manhattan, NY · Remote

$20 - $27/hr

This is a Temporary remote full-time role at Claritev*** At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve ...

Umusic

Streaming Fraud Data Research & Analyst

New York, NY · On-site +1

$61K - $118K/yr

This role can be based out of any of our US or European office locations or remote. How You'll ... Strong data literacy - comfortable working with large datasets, using tools such as SQL and Python ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

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.

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

About the Role: AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

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Remote Data Analyst Python information

How can I make $2000 a week working from home?

A remote data analyst can earn $2000 or more weekly by working on multiple freelance projects, consulting for clients, or securing high-paying contracts that leverage skills in Python, data visualization, and statistical analysis. Building a strong portfolio, gaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities.

What is the meaning of the word remote?

In the context of a remote data analyst role, 'remote' means working outside of a traditional office environment, often from home or another location of the employee's choice. It allows for flexible scheduling and requires strong communication skills and proficiency with digital collaboration tools.

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 best remote control for Alzheimer's patients?

A remote data analyst role involves working with data tools and software, but it does not relate to remote controls for Alzheimer's patients. For managing Alzheimer's, specialized remote controls with simplified interfaces, large buttons, and voice-activated features are recommended to assist patients with cognitive impairments. Consulting healthcare professionals or caregivers can help identify the most suitable devices based on individual needs.

What is the meaning of remote in one word?

In the context of a remote data analyst Python role, 'remote' means working outside a traditional office environment, typically from any location with internet access. It allows flexibility in work setting and often involves virtual collaboration tools. The term emphasizes location independence for the job.

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), and why are they important?

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.

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.

What are popular job titles related to Remote Data Analyst Python jobs in New York? For Remote Data Analyst Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in New York look for? The top searched job categories for Remote Data Analyst Python jobs in New York are:
What cities in New York are hiring for Remote Data Analyst Python jobs? Cities in New York with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you

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

TSG Risk Management

New York, NY • Remote

$80K - $100K/yr

Full-time

Posted 29 days 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