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Python Data Analyst Jobs in New York (NOW HIRING)

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Proficient in Python and statistical and analytical tools like R * Experience with automation tools for reports automation with ETL tools * Data mining and querying * Experience maintaining complex ...

FOCUSKPI INC

Be Seen First

Data Analyst

New York, NY · On-site

$40 - $50/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 ...

New

Zortech Solutions

Data Analyst

Clark, NJ · On-site

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required ... VBA, python, XML) * Working knowledge of ETL * Experience in Managing scientific data Desired ...

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Konrad

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

Programming experience in Python, Bash scripting, R or related language * Working proficiency in SQL * Foundational understanding of data modeling and analytics best practices * Experience defining ...

Konrad

Data Analyst

New York, NY · On-site

$75K - $100K/yr

Programming experience in Python, Bash scripting, R or related language * Working proficiency in SQL * Foundational understanding of data modeling and analytics best practices * Experience defining ...

Kearny Bank

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 ...

Sundaysky

Data Analyst

New York, NY

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

Kearny Bank

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 ...

FocusKPI Inc.

Data Analyst

New York, NY · On-site

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 ...

New

Brex

Data Analyst II

Manhattan, NY · On-site

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

GoodApple

Data Analyst

New York, NY · 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

Good Apple

Data Analyst

New York, NY · 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

AllSTEM Connections

Data Analyst

Manhattan, NY · 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 ...

The AES Group

Data Analyst

Morristown, NJ · On-site

... Python or R for data wrangling, automation, or analytical scripting • Experience working in regulated industries such as financial services, healthcare, retail, or government • Background ...

Brex

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Write production-quality SQL and Python code to extract, transform, and analyze data at scale. * Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models ...

Walmart

Data Analyst II

Hackensack, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in New York

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 Jul 18, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in New York? The most popular types of Python Data Analyst jobs in New York are:
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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in New York as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Data Analyst (fulltime)

Jose Merciline

New York, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location can be remote. As long as the candidate is available to work during EST business hours and willing to travel to NYC on need basis. (Post Covid)

Prefer someone close to or willing to NYC or NYC suburbs - Not must.

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa.

  1. Interpret data, clean and analyze results using statistical techniques and provide ongoing reports
  2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  3. Acquire data from primary or secondary data sources and maintain databases/data systems
  4. Identify, analyze, and interpret trends or patterns in complex data sets
  5. Visualize datasets using Tableau, PowerBI or Looker
  6. Adept in doing qualitative and Quantitative research.
  7. Building automated dashboards in PowerBI, Tableau etc
  8. Database migration and setup.

Requirements

  1. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  2. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  3. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  4. Adept at queries, report writing and presenting findings
  5. Proficient in Python and statistical and analytical tools like R
  6. Experience with automation tools for reports automation with ETL tools
  7. Data mining and querying
  8. Experience maintaining complex data sets and as well data migration and creating new datasets

Experience with data visualization tools as well as leveraging Python for creating data visualizations and automating dashboards.

Apply