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Python Analytics Jobs in Buffalo, NY (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Buffalo, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Pwc

GenAI Python Systems Engineer-Director

Buffalo, NY

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY

Proficiency with SQL and at least one analytical programming language such as Python or R. * Experience working with large-scale operational, engineering, or observability datasets. Education and ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY · On-site

Proficiency with SQL and at least one analytical programming language such as Python or R. * Experience working with large-scale operational, engineering, or observability datasets. Education and ...

Keybank

Quant Analytics Mgr.

Amherst, NY · On-site

The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis ... Advanced Python/R/SAS: * Databases * Efficient coding * Can build strong code controls and ...

Keybank

Quantitative Analytics Lead Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Advanced Python/R/SAS: * Databases * Efficient coding * Can build strong code controls and ...

KeyBank

Lead Quantitative Analytics Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Advanced Python/R/SAS: * Databases * Efficient coding * Can build strong code controls and ...

Keybank

Business Analytics Sr Assoc

Buffalo, NY · On-site

$80K - $150K/yr

Work with large datasets - using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud - to solve business problems; Analyze and resolve anomalies discovered when using quantitative ...

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 ...

Lovable

Analytics Engineer

Boston, NY · On-site

Comfort with Python for automation and light data engineering. * Experience with dashboards, BI tools, and self-serve analytics. * Clear communication, collaboration, and comfort working in ambiguity.

Varsity Tutors

Business Analytics Tutor

Buffalo, NY · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Python Analytics information

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How much do python analytics jobs pay per hour?

As of Aug 27, 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 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 are the key skills and qualifications needed to thrive as a Python Analytics professional?

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 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 does a Python analytics do?

A Python analytics professional uses Python programming to analyze data, develop models, and generate insights for decision-making. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or automate data processes. Strong programming skills and understanding of statistical methods are essential for this role.

What is the salary of Python analytics?

The salary for a Python analytics role typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and NumPy tend to earn higher salaries.

What are popular job titles related to Python Analytics jobs in Buffalo, NY?

For Python Analytics jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Python Analytics jobs in Buffalo, NY look for?

The top searched job categories for Python Analytics jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Python Analytics jobs?

Cities near Buffalo, NY with the most Python Analytics job openings:

Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $118,112 per year, or $56.8 per hour.

python developer with strong oops concept exp

SLK America Inc.

Buffalo, NY • On-site

$48.75 - $67/hr

Other

Posted 13 days ago

Job description

Strong proficiency in Python programming.

Solid understanding of Object-Oriented Programming concepts

Experience with Python frameworks such as FastAPI, Flask, or Django.

Knowledge of REST APIs and microservices architecture.

Experience with exception handling, multithreading, and asynchronous programming.

Strong understanding of data structures and algorithms.

Experience with unit testing frameworks such as PyTest or UnitTest.

Familiarity with Git and CI/CD practices.

Experience working with SQL databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases.

Understanding of software development lifecycle (SDLC) and Agile methodologies.

Expected Competencies:

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work independently and as part of a team.

Strong focus on code quality, maintainability, and performance.

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