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Flexible Data Analyst Jobs in New York (NOW HIRING)

Data Analyst (Entry-Level) Location: New York, NY Experience Level: 0-3 years About the Company We ... flexible financing solutions to small and medium-sized businesses. Our team leverages data-driven ...

Data Analyst

New York, NY · On-site

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a ... Flexible Working Hours * Work from Home Flexibility * Service Recognition Programs * Socials ...

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

We are seeking a technically strong and detail-oriented Data Analyst to join our Business ... Flexible Spending Account (FSA) * Health Savings Account (HSA) * 401(k) retirement savings program

New

Data Analyst The employer is a cryptocurrency launchpad for the Solana blockchain that enables ... Flexible work arrangements * Professional development budget * Collaborative, fast-paced ...

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a ... Flexible Working Hours * Work from Home Flexibility * Service Recognition Programs * Socials ...

Data Analyst

Manhattan, NY · Hybrid

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a ... Flexible Working Hours * Work from Home Flexibility * Service Recognition Programs * Socials ...

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

We're looking for a Data Analyst to help us understand how users interact with our product and turn ... What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on ...

Data Analyst

Manhattan, NY · On-site

$120K - $170K/yr

Data Analyst Chicago or New York Honeycomb At Honeycomb, we're reshaping the future of insurance ... Flexible time off * 10 company-paid holidays * Paid family leave

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

We're looking for a Data Analyst to help us understand how users interact with our product and turn ... What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on ...

Data Analyst Location: Long Island City NY 11101 On-site/Remote/Hybrid: Onsite Duration: 12+ Months ... Provide flexible, consultant-level analytical capacity without expanding permanent staff Scope of ...

Data Analyst

White Plains, NY · Hybrid

$80K - $90K/yr

This position offers a flexible, hybrid working arrangement. The Position This hands-on Data Analyst position will reside within the Firm's Business Solutions & Innovations department, where 20 ...

Data Analyst

Manhattan, NY · Hybrid

$80K - $90K/yr

This position offers a flexible, hybrid working arrangement. The Position This hands-on Data Analyst position will reside within the Firm's Business Solutions & Innovations department, where 20 ...

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We ... as flexible work hours, transit checks, all the snacks and soda you can eat, a great work ...

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Flexible Data Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do flexible data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for flexible data analyst in New York 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 are the key skills and qualifications needed to thrive as a Flexible Data Analyst, and why are they important?

To thrive as a Flexible Data Analyst, you need strong analytical skills, proficiency in statistics, and a foundational understanding of data management, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, Python or R, Excel, and data visualization platforms like Tableau or Power BI is usually expected. Exceptional problem-solving abilities, adaptability, and effective communication skills help you interpret data insights and collaborate across diverse projects. These competencies are vital for delivering actionable business solutions in dynamic and evolving environments.

What are some common challenges faced by Flexible Data Analysts, and how can they overcome them?

Flexible Data Analysts often work across multiple projects or teams, which can present challenges in managing shifting priorities and adapting to different data sources or business goals. To succeed, it's important to maintain strong organizational skills, communicate proactively with stakeholders, and quickly familiarize oneself with new datasets and tools. Building a strong network within the organization can also help in understanding context and ensuring data-driven recommendations are aligned with business needs. Regularly updating technical skills and seeking feedback can further enhance effectiveness in this dynamic role.

What is a Flexible Data Analyst?

A Flexible Data Analyst is a professional who analyzes and interprets data to help organizations make informed decisions, while typically working in a non-traditional arrangement such as remote work, part-time hours, or on a project basis. This flexibility allows both employers and analysts to adapt to changing workloads and personal needs. Flexible Data Analysts often use statistical tools and software to process large datasets, generate reports, and provide actionable insights. They may work across various industries, including finance, healthcare, and marketing, supporting teams with data-driven recommendations.

What is the difference between Flexible Data Analyst vs Data Scientist?

AspectFlexible Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentBusiness, finance, marketing teams; often in office settingsResearch labs, tech companies, or analytics teams; often in office or remote
Employer & Industry UsageRetail, healthcare, finance, marketingTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Flexible Data Analysts focus on interpreting data, creating reports, and supporting decision-making with less emphasis on complex modeling. Data Scientists typically develop advanced algorithms, predictive models, and perform in-depth statistical analysis. While both roles require strong analytical skills, Data Scientists usually have more technical expertise in programming and machine learning. The choice depends on your skills and career goals within data analytics and data science fields.

What are the most commonly searched types of Data Analyst jobs in New York? The most popular types of Data Analyst jobs in New York are:
What cities in New York are hiring for Flexible Data Analyst jobs? Cities in New York with the most Flexible Data Analyst job openings:

Algorithmic Trading Data Analyst/Engineer

Quanta Search

Manhattan, NY

Other

Posted 25 days ago


Job description

Our client is a global financial technology company, provider of advanced algorithms and data-driven analytics for clients in Futures and US CashTreasury markets.
They are looking for a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems to join our algorithmic trading data analytics/infrastructure team in NYC. You will have the opportunity to make significant contributions to our pre/post trade analytics platform and help define our product's strategic direction through thoughtful design and detailed analysis. As a key member of this team you will be responsible for building, enhancing and maintaining our 35 TB historical database which grows by about 200 GB every day. You will closely collaborate with quantitative researchers and build/improve the necessary databases and services to enable their research. You will also work closely with the sales and other client facing teams to provide analytical solutions to their questions about execution performance.Additionally, you will act as a mentor to other team members and coach them on best practices and engineering standards.You may also be occasionally required to troubleshoot production issues when they occur.
Skills and Background:
Required:
  • Experience working with large financial datasets like market data, order/execution data, or positions data
  • Experience with data analysis using languages such as KDB+/Q, R, Python/Pandas
  • Comfortable with mathematical concepts such as regression techniques, and statistical analysis
  • Experience working in a Unix/Linux environment
  • Strong analytical and problem-solving skills with a proactive attitude to own issues and solve them
  • Excellent team-player and communication skills
Desired:
  • Experience with algorithmic execution and TCA especially in the futures/cash treasuries market is a big plus
  • Familiarity with distributed trading systems/parallel computing
  • Proficiency with C++, REST APIs and UI technologies/framework such as Node.JS, Angular