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Python Analytics Jobs in Buffalo, NY (NOW HIRING)

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 ...

Demonstrable scripting skills in at least one language (e.g., Python, PowerShell, Bash) for task ... Cybersecurity Analyst (CySA+) * GIAC Certified Incident Handler (GCIH) * GIAC Systems and Network ...

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 ...

Strong background in data analytics, including experience with statistical analysis, data ... Algorithm writing experience with Python and similar AI / ML languages desired. * Familiarity with ...

Senior Commercial Insurance Analyst - Remote

Alabama, NY · Remote

$79.40K - $105.10K/yr

Working knowledge of R or Python. * Experience with automating repetitive tasks. * Adaptability and ... Superior research, statistical, analytical, processing and mathematical skills with ability to ...

Senior Media Analyst

Boston, NY · On-site

$83.20K - $110.20K/yr

... and analytics that investors use to make crucial decisions. At FactSet, our values are the ... Python) for data extraction, transformation, analysis, and workflow automation * Hands-on ...

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

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Python Analytics information

See Buffalo, NY salary details

$12

$56

$83

How much do python analytics jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python analytics in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What cities near Buffalo, NY are hiring for Python Analytics jobs? Cities near Buffalo, NY with the most Python Analytics job openings:
Senior Quantitative Risk Manager - BSA/AML

Senior Quantitative Risk Manager - BSA/AML

M&T Bank

Buffalo, NY

$148.30K - $247.10K/yr

Full-time

Posted 13 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

67th of 141 rated banks


Job description

Overview:

This position requiresexpertisein statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle-including requirements gathering, development, testing/validation, implementation, and ongoing monitoring-and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities:
  • Design, develop, test/validate, implement, andmonitorstatistical and machine learning models across the full model development lifecycle.

  • Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.

  • Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.

  • Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review).

  • Develop andmaintainproduction-quality analytics using Python and SAS.

  • Collaborate with internal and external partners tooptimizethe risk/reward equation and maximize profitability.

  • Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks.

  • Manage and develop Quantitative Analysts and Modelers, including performance and skills development.

  • Ensure adherence to risk management frameworks, regulatory standards, and internal controls.

  • Exercise managerial authority related to staffing, performance, and compensation decisions.

  • Promote an inclusive environment that reflects the M&T Bank brand.

Education and Experience Required:

Bachelors' degree,
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 10 years' related experience (inclusive of 4 years supervisory/management experience)
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years' related experience (inclusive of 4 years supervisory/management experience),
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 8 years' related experience and/or (inclusive of 4 years supervisory/management experience).
Minimum of 10 years' related experience (inclusive of 4 years supervisory/management experience)
Banking or Financial Services experience.
Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
Advanced Knowledge of SQL and Microsoft Office.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.

Education and Experience Preferred:
  • Extensive experience with statistical and machinelearningmodel development and ongoing monitoring.

  • Demonstrated experience leading models from concept through production.

  • Strongproficiencyin both Python and SAS.

#LI-RS1

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $148,300.00 - $247,100.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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