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Python Analytics Jobs in Buffalo, NY (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Buffalo, NY · On-site

$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 · On-site

$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 ...

KeyBank

Business Analytics Sr Assoc

Buffalo, NY · On-site

$89.60K - $115.80K/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

Business Analytics Sr Assoc

Buffalo, NY

$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

Business Analytics Sr Associate

Amherst, 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 ...

Varsity Tutors

Business Analytics Tutor

Buffalo, NY · Remote

$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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$12

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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 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 May 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $118,112 per year, or $56.8 per hour.
Sr. Python and Snowflake Developer (Onsite)

Sr. Python and Snowflake Developer (Onsite)

Cognizant Technology Solutions

Buffalo, NY • On-site

$117.70K - $158.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

Sr. 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 June 11, 2026,
The annual salary for this position is between $ 80,000 - $ 135,000 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 usCognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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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