1

Python Data Analyst Jobs in New York (NOW HIRING)

Data Analyst

Jersey City, NJ ยท On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

Data Analyst

New York, NY ยท On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

Data Analyst

Jersey City, NJ ยท On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Experience in Python would be helpful * Familiarity with business intelligence visualization tools ...

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Experience in Python would be helpful * Familiarity with business intelligence visualization tools ...

... Python. Qualifications : Required : โ€ข 4+ years of experience in data analytics or a related role in a professional setting. โ€ข 3+ years of experience working directly with Sales, Operations ...

Data Analyst

New York, NY ยท On-site

$40/hr

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Experience in Python would be helpful * Familiarity with business intelligence visualization tools ...

Data Analyst

Manhattan, NY ยท On-site

$54K - $85K/yr

Senior People Data Analyst Role Overview We are seeking a Senior People Data Analyst to transform ... Advanced proficiency in SQL and Python (or similar data manipulation languages) and expert-level ...

Data Analyst - New York, NY Location : New York, NY Duration : 12 months Only ON W2 No C2C : There ... SQL, Spark (Pyspark primarily), Python, AWS (EMR primarily) Best Regards Chris Brown Sr Technical ...

Data Analyst

Manhattan, NY ยท On-site

$80K - $90K/yr

Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting outcomes reporting in a non-profit, education setting, or healthcare ...

Data Analyst

Stamford, CT ยท On-site +1

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI tools (e.g. Copilot, Claude, ChatGPT, Gemini) to conduct analysis a plus * Collaboration: Strong ...

Data Analyst II

New York, NY ยท Hybrid

$93K - $117K/yr

Experience with Python for data analysis, automation, or scripting. * Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar). * Strong quantitative and ...

Data Analyst

Manhattan, NY ยท On-site

$80K - $90K/yr

Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting outcomes reporting in a non-profit, education setting, or healthcare ...

New

Experience with Python or R for data manipulation and analysis. * Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata governance and quality assurance ...

Data Analyst

New York, NY ยท On-site +1

$97K/yr

High familiarity with Python, specifically Pandas package, for tasks such as statistical analysis and data visualization Preferred qualifications * Experience working in a cross-functional ...

Data Analyst

Manhattan, NY ยท On-site

$70K - $90K/yr

... Python or other scripting languages Compensation: $70,000 - $90,000 + Bonus & Equity Join Us ... Department Product Role Data Analyst Locations New York Yearly salary $70,000 - $90,000

Experience with Python or R for data manipulation and analysis. * Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata governance and quality assurance ...

Use Python to clean, transform, and analyze datasets that inform growth strategy and channel performance. * Translate data findings into clear takeaways that help the marketing team make faster ...

Showing results 41-60

Python Data Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do python data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for python 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 does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
What are popular job titles related to Python Data Analyst jobs in New York? For Python Data Analyst jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in New York look for? The top searched job categories for Python Data Analyst jobs in New York are:
What cities in New York are hiring for Python Data Analyst jobs? Cities in New York with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Data Analyst

AvePoint

Jersey City, NJ โ€ข On-site

$85K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 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.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.