1

Data Analyst Data Science Jobs in New York (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making. Responsibilities : • Own and evolve our core data models ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the business. Responsibilities : • Own and evolve our ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Data Analyst

New York, NY · On-site

$85K - $100K/yr

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

RevOps Data Analyst

New York, NY · On-site +1

$100K - $110K/yr

Bachelor's degree in Data Science, Business Analytics, Finance, Statistics, or a related field. * Experience: 3-5 years of relevant professional work experience in data analysis, data science, or ...

Data Analyst II

New York, NY · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Survey Data Analyst

Queens, NY · On-site

$91K/yr

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to ... BES provides statistical analytic support for public health surveillance, epidemiologic research ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

This role is part of a small team of Data Scientists/Analysts building up the Data platform to support the commercial needs of a research organization. The Ideal Candidate Is * Committed to fostering ...

PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer ...

Data Analyst

Fairfield, NJ · On-site

$75K - $110K/yr

Professional experience with Python for data analysis or data science preferred.Experience with Microsoft Fabric SaaS, cloud platforms, CRM systems (e.g., Salesforce or Dynamics), Snowflake, and ...

Projects will also involve collaboration with the Information Technology and Data Science teams. What you'll do: * Partner with colleagues to do analysis that surfaces actionable insight for the BTI ...

Data Analyst

Stamford, CT · On-site +1

Projects will also involve collaboration with the Information Technology and Data Science teams. What you'll do: * Partner with colleagues to do analysis that surfaces actionable insight for the BTI ...

Projects will also involve collaboration with the Information Technology and Data Science teams. What you'll do: * Partner with colleagues to do analysis that surfaces actionable insight for the BTI ...

Showing results 21-40

Data Analyst Data Science information

See New York salary details

$16

$43

$74

How much do data analyst data science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analyst data science in New York is $43.50, according to ZipRecruiter salary data. Most workers in this role earn between $31.35 and $52.74 per hour, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in New York? For Data Analyst Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in New York look for? The top searched job categories for Data Analyst Data Science jobs in New York are:
What cities in New York are hiring for Data Analyst Data Science jobs? Cities in New York with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,478 per year, or $43.5 per hour.

$85K - $110K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Job Summary: 

 AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth, customer adoption, and long-term retention. Your work will help leadership make decisions on where to invest, which partners to prioritize, and how to grow our channel business effectively. 

Key Responsibilities: 

  • Partner Performance Analysis 
    Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments. 
  • Partner Health & Engagement Insights 
    Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation. 
  • Revenue & Forecasting Support 
    Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem. 
  • Customer & Partner Relationship Insights 
    Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels. 
  • Partner Marketing Analytics 
    Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth. 
  • Predictive & Strategic Analysis 
    Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment. 
  • Dashboarding & Executive Reporting 
    Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action. 
  • Cross-Functional Collaboration 
    Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities. 

Qualifications: 

  • Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. 
  • Experience: 3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics. Experience in SaaS B2B performance metrics such as Annual Recurring Revenue, Net Recurring Revenue, and Gross Recurring Revenue analysis is a plus. 
  • Technical Skills: Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must. Experience with customer systems such as CRM systems (e.g., Dynamics CRM, PRMs), Gainsight CS, Everstage Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus. 
  • Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
  • Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively. 
  • Attention to Detail: High level of accuracy and attention to detail in data handling and analysis. 
  • Business Acumen: Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making. 
  • Team Player: Ability to work collaboratively in a fast-paced, dynamic environment 

The Salary Range for this role is $85,000 - $110,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.