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Python Data Analyst Jobs in New York (NOW HIRING)

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

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 ...

Data Analyst

Roslyn Heights, NY · On-site

$38 - $43/hr

Direct experience with PowerBI, Python * Problem-Solving Skills * Ability to Work Independently * Strong Communication Skills * Detail-oriented * Experienced in Data Analytics * Employment Type ...

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 ...

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 ...

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 ...

... 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 ...

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 ...

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

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

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 ...

Data Analyst

Manhattan, NY · On-site

$89K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary ... Being familiar with computer languages, such as SQL or Python will be a plus. * The candidate ...

Data Analyst

Manhattan, NY · On-site

$70K - $100K/yr

... first analytical strategies and solutions Build, maintain, and optimize scalable dashboards ... Rudimentary Python coding knowledge for ad‐hoc data processing The base salary range for this ...

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 ...

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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 Jun 5, 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?

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.

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 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 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 May 2026, with employment types broken down into 13% As Needed, and 87% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.
Data Analyst

Data Analyst

Clay Labs

New York, NY • On-site

$130K - $170K/yr

Full-time

Posted 7 days ago


Job description

About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
  • Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
  • Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
  • All employees can work for free with world-class coaches who specialize in creativity, management, and more.
  • Our operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here.
  • Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!
Data @ Clay
We're looking for a Data Analyst to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day.
This role is ideal for someone earlier in their data career who wants to learn quickly from senior teammates, take on meaningful ownership from day one, and do that work inside one of the fastest-growing AI startups while digging deeply into data to understand why things are happening, not just what is happening.
What you'll do
  • Build and own analytics data models
    • Write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows.
  • Build and iterate on analytics metrics and tables
    • Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time.
  • Explore data deeply to answer open-ended questions
    • Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions.
  • Help operationalize data
    • Support reverse ETL workflows using Census, helping make modeled data actionable in the tools teams use day-to-day.
  • Translate questions into insight
    • Partner with cross-functional teams to turn ambiguous questions into clear, useful analytical outputs.
What we're looking for
  • Strong SQL fundamentals - comfortable with joins, CTEs, window functions, and clear query structure
  • Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows
  • Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar
  • Strong analytical intuition - able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions
  • Clear communicator who can share insights with technical and non-technical partners
  • Deeply curious about product usage and business performance - motivated to go beyond the what to understand the why, without getting lost in rabbit holes
  • 2+ years of full-time work experience in a related role
Nice to have
  • Experience with Snowflake or other similar cloud data warehousing tools
  • Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis
  • Familiarity with Hex or other notebook-based analysis tools
  • Familiarity with Census or other reverse ETL tools
  • Prior experience in a product-led or B2B SaaS environment