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Data Analyst Nyc Jobs (NOW HIRING)

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

Hybrid (3 days in NYC office) At this time, Foot Locker will not sponsor a new applicant for ... We are seeking a results-driven Senior Data Analyst to join our Merchandising, Planning, Allocation ...

NYC, NY (3 days onsite minimum) Work Type: Temporary Assignment Job Type: Hybrid Job Summary: Serve ... Data analysis: Profile, validate, and interpret AML datasets to support scenario design and ...

Develop a repository for the relevant data sets and analyses results. Design appropriate scripts ... Work Location: 4 World Trade Center, 42nd Floor, NYC Hours/Schedule: Normal Business Hours CITY ...

Develop a repository for the relevant data sets and analyses results. Design appropriate scripts ... Work Location: 4 World Trade Center, 42nd Floor, NYC Hours/Schedule: Normal Business Hours CITY ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access ... Based in NYC, our results-driven environment drives us to build better products, grow faster and ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access ... Based in NYC, our results-driven environment drives us to build better products, grow faster and ...

... Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem ... Excited to work from Supper's NYC office 4 days/week (1 remote day/week) Compensation * OTE $130 ...

Business / Data Analyst Location: Remote ( NYC, NY) Full Time ( We also accepts OPT's with min 1 year of exp) Exp required : 1+ Years of Exp Client : Financial Client in NYC, NY Job Discription:

Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB footprint Are you a dedicated Senior Transportation Data Analyst looking to make ...

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Data Analyst Nyc information

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$34K

$82.6K

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How much do data analyst nyc jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data analyst nyc in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How do Data Analysts in NYC typically collaborate with cross-functional teams, and what skills help facilitate effective communication?

Data Analysts in NYC often work closely with professionals from various departments, such as marketing, product, finance, and engineering. Effective collaboration involves translating complex data findings into actionable insights tailored to each team's objectives. Strong communication skills, the ability to visualize data clearly, and an understanding of business goals are crucial for ensuring your analyses drive decision-making. Being proactive in meetings and adaptable to different stakeholders' needs can further enhance your impact and visibility within the organization.

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

AspectData Analyst NycData Scientist Nyc
Required CredentialsBachelor's in Statistics, Data Analysis, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentBusiness, finance, marketing teamsResearch, product development, advanced analytics teams
Employer & Industry UsageCorporate, finance, healthcare, marketingTech companies, research firms, startups
Common Search & ComparisonYesNo

Data Analysts in NYC focus on interpreting data to support business decisions, often working with structured data and reporting tools. Data Scientists, on the other hand, develop complex models and algorithms to extract insights from large datasets. While both roles require strong analytical skills, Data Scientists typically have more advanced technical expertise and educational background. Understanding these differences helps job seekers identify the right role based on their skills and career goals.

What are the key skills and qualifications needed to thrive as a Data Analyst in NYC, and why are they important?

To thrive as a Data Analyst in NYC, you need strong analytical abilities, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Familiarity with tools like SQL, Python, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of big data systems. Excellent problem-solving, attention to detail, and effective communication help you interpret data and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful business intelligence, driving strategic decisions in a highly competitive market.

What does a Data Analyst in NYC do?

A Data Analyst in NYC is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and generate actionable insights. In New York City, data analysts often work in industries like finance, healthcare, marketing, and technology, collaborating with various teams to support strategic initiatives. Their role may also include creating reports, dashboards, and visualizations to communicate findings to stakeholders.
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What states have the most Data Analyst Nyc jobs? States with the most job openings for Data Analyst Nyc jobs include:

Algorithmic Trading Data Analyst/Engineer

Quanta Search

Manhattan, NY

Other

Posted 22 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