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Python Data Analyst Jobs in Buffalo, NY (NOW HIRING)

Keybank

Commercial Analytics, Senior Associate

Buffalo, NY · On-site

$80K - $150K/yr

Job Summary KeyBank is seeking a highly analytical and resultsdriven Senior Associate to join our ... Coding (SQL, BigQuery, Python, Data Visualization (Tableau, Power BI), Excel & PowerPoint- Python ...

New

Pwc

AI & GenAI Data Scientist-Senior Associate

Buffalo, NY · On-site

$77K - $202K/yr

... Python for complex data analysis and modeling - Excelling in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging ...

Danaher

Digital Analyst Internships

Buffalo, NY

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Buffalo, NY · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Moog

AI Systems Analyst

Buffalo, NY · Hybrid

$85K - $110K/yr

AI Systems Analyst Reporting To: Applications & Data Manager - Commercial Aircraft Group Work ... Proficiency in programming languages including C#, Python, and SQL * Experience working with data ...

Moog, Inc.

AI Systems Analyst

Buffalo, NY · On-site

$85K - $110K/yr

AI Systems Analyst Reporting To: Applications & Data Manager - Commercial Aircraft Group Work ... Proficiency in programming languages including C#, Python, and SQL * Experience working with data ...

FocusKPI

Marketing Operations Analyst

Buffalo, NY

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Buffalo, NY · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Openkyber

Data Engineer

Buffalo, NY · On-site

$110K - $133K/yr

Work with data architects, analysts, and stakeholders to ensure data quality and accessibility ... Strong experience with SQL, Python, or Scala * Hands-on with data pipeline tools: Apache Spark ...

Haymarket-Media-1

Data Scientist

Niagara Falls, NY · On-site

$120 - $130/hr

Hands-on experience with Python for data cleaning, analysis, statistical testing, and predictive modeling. * Advanced SQL knowledge for querying large, high-dimensional datasets. * Proficiency with ...

Centivo

Healthcare BI Analyst

Buffalo, NY · On-site

$100K - $115K/yr

Preferred proficiency in Python programming to support automation and advanced analytics capabilities. Education and Experience: * Bachelor's degree in Information Systems, Data Analytics, or a ...

Centivo

Healthcare BI Analyst

Buffalo, NY · Remote

$100K - $115K/yr

Preferred proficiency in Python programming to support automation and advanced analytics capabilities. Education and Experience: * Bachelor's degree in Information Systems, Data Analytics, or a ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Buffalo, NY

Python Data Analyst information

See Buffalo, NY salary details

$32.9K

$80.1K

$131.7K

How much do python data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for python data analyst in Buffalo, NY is $80,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 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.
More about Python Data Analyst jobs
What are popular job titles related to Python Data Analyst jobs in Buffalo, NY? For Python Data Analyst jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Buffalo, NY look for? The top searched job categories for Python Data Analyst jobs in Buffalo, NY are:
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,051 per year, or $38.5 per hour.

Sr. Python and Snowflake Developer (Onsite)

Cognizant Technology Solutions

Buffalo, NY • On-site

$117K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Sr.Python and Snowflake Developer
This role involves designing developing and optimizing data solutions using Snowflake and Python technologies. The candidate will work in a hybrid model collaborating with teams to ensure seamless data integration and processing. The position requires expertise in Snowflake SQL Snowpipe and Python with a focus on delivering high-quality solutions.
Responsibilities
  • Develop and implement scalable data solutions using Snowflake and Python to meet business requirements.
  • Collaborate with cross-functional teams to gather and analyze data requirements for optimized solutions.
  • Design and maintain Snowflake tasks streams and pipelines to ensure efficient data processing and integration.
  • Optimize Snowflake SQL queries for performance and reliability in large-scale data environments.
  • Implement and manage Snowpipe for real-time data ingestion and processing workflows.
  • Provide technical expertise in Python scripting for data manipulation and automation tasks.
  • Monitor and troubleshoot Snowflake environments to ensure system stability and performance.
  • Document technical processes and workflows to maintain clarity and consistency across projects.
  • Ensure adherence to best practices in data security governance and compliance standards.
  • Conduct code reviews and provide constructive feedback to maintain high-quality deliverables.
  • Collaborate with stakeholders to identify opportunities for improving data solutions and workflows.
  • Stay updated with the latest advancements in Snowflake and Python technologies to enhance project outcomes.
  • Contribute to the company's mission by delivering impactful data solutions that drive informed decision-making.

Qualifications
  • Possess strong expertise in Snowflake SQL Snowflake Streams Snowflake Tasks and Snowpipe for data processing and integration.
  • Demonstrate proficiency in Python programming for data manipulation automation and workflow optimization.
  • Have a solid understanding of data architecture principles and best practices for scalable solutions.
  • Exhibit excellent problem-solving skills to address technical challenges effectively.
  • Show experience in hybrid work environments collaborating with teams both remotely and on-site.
  • Display strong communication skills to articulate technical concepts to non-technical stakeholders.
  • Hold a minimum of 8 years of relevant experience in data engineering or software development with a maximum of 12 years.
  • Demonstrate familiarity with data security and governance standards to ensure compliance.
  • Showcase ability to work independently while contributing to team objectives.
  • Have a track record of delivering high-quality solutions within deadlines.
  • Exhibit adaptability to learn and implement new technologies as required.
  • Possess a proactive approach to identifying and resolving issues in data workflows.
  • Show commitment to driving impactful results that align with the companys goals.

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until July 16, 2026,
The annual salary for this position is between $ 80,000 - $ 145,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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