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Python Data Analysis Jobs in Manhattan, NY (NOW HIRING)

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... In this role you'll assist with developing Python-based data workflows, supporting cloud-based data ...

... Use Python for data analysis, feature engineering, statistical analysis, and basic machine learning models Support development of predictive models for customer behavior, risk analysis, fraud ...

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 ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

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 ...

Experience with data analysis software such as Python or R. * Experience working with CRM or reporting systems. Desired Skills: * Knowledge of Microsoft Dynamics or CRM customization. * Experience in ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... In this role you'll assist with developing Python-based data workflows, supporting cloud-based data ...

... Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries). • Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar ...

... analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizing Python, data science libraries, model validation ...

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar). * Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks ...

Data Analyst

New York, NY · On-site

$55 - $60/hr

Familiarity with data analysis tools such as Excel and Python is preferred. * Exposure to ETL tools, data warehouses, APIs, and file-based integrations. * Strong analytical and problem-solving skills.

... and analytical programming languages, as well as enterprise-grade languages (e.g., Python), data modeling (ERWin), and engineering tools • Experience with risk and control requirements • ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python data analysis in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Manhattan, NY? The most popular types of Python Data Analysis jobs in Manhattan, NY are:
What are popular job titles related to Python Data Analysis jobs in Manhattan, NY? For Python Data Analysis jobs in Manhattan, NY, the most frequently searched job titles are:
What cities near Manhattan, NY are hiring for Python Data Analysis jobs? Cities near Manhattan, NY with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Manhattan, NY as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $134,568 per year, or $64.7 per hour.

Full-time

Posted 5 days ago


Job description

Description

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that will drive strategic decisions and improve business outcomes. Your analytical expertise will allow you to interpret complex datasets, identify trends, and provide recommendations to stakeholders across various departments. You will be responsible for gathering, cleaning, and analyzing data from multiple sources, ensuring its accuracy and relevance. In this fast-paced environment, you will collaborate closely with cross-functional teams to understand their data needs and develop comprehensive reports and dashboards. Additionally, you will utilize statistical techniques to conduct deep-dive analyses, revealing patterns and correlations that may not be immediately apparent. The ideal candidate will have a profound passion for data and problem-solving, with a keen eye for detail and an ability to communicate findings clearly and effectively. If you are looking to make a significant impact through data-driven decision-making, we encourage you to apply for this exciting opportunity where innovation meets analytics.

Responsibilities
  • Collect, clean, and preprocess large datasets from various sources to ensure data integrity.
  • Analyze data using statistical methods to identify trends, patterns, and anomalies that provide actionable insights.
  • Create and maintain comprehensive dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand their data needs and translate business requirements into analytical solutions.
  • Document processes and methodologies for data analysis and reporting to ensure consistency and accuracy.
  • Present findings and recommendations to stakeholders using data visualization techniques and clear narrative.
  • Stay updated with industry trends and best practices in data analytics to continually improve the analytical process.
Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar role, with a strong portfolio demonstrating your analytical capabilities.
  • Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python).
  • Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual narratives.
  • Solid understanding of statistical analysis techniques and methodologies.
  • Strong problem-solving skills with the ability to analyze complex data and present findings.
  • Excellent communication skills, both written and verbal, with a focus on translating data into actionable insights.