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

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Python * Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications

Varsity Tutors

Data Science Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Itero Group

Senior Snowflake Data Engineer

Boston, NY · On-site

$108K - $130K/yr

Develop dimensional data models, data marts, and curated analytical datasets. * Optimize Snowflake ... Strong Python development experience. * Experience building enterprise ELT/ETL pipelines.

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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:
What cities near Buffalo, NY are hiring for Python Data Analyst jobs? Cities near Buffalo, NY with the most Python Data Analyst job openings:
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.

Financial Crimes - Senior Data Scientist

Keybank

Buffalo, NY • Hybrid

$94K - $175K/yr

Full-time

Re-posted 9 days ago

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

51st of 170 rated banks

Job description

Location:

4910 Tiedeman Road, Brooklyn Ohio

ABOUT THE JOB (JOB BRIEF)

Under manager's supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.

ESSENTIAL JOB FUNCTIONS

  • Under manager's oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
  • Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
  • Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
  • Document model development process and outcomes properly and support model validation and review
  • Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
  • Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners

REQUIRED QUALIFICATIONS

  • Master's or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree
  • Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
  • Hands-on work experience with statistical coding in SAS and/or Python
  • Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
  • Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
  • Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience

Candidates must be located in or willing to relocate toCleveland, OH or Buffalo, NY

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 08/09/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

#LI-Hybrid

What KeyBank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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