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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 ...

Keybank

Quantitative Analytics Associate

Amherst, NY

$69K - $105K/yr

Python/R/SAS: * Perform IDE walk-through; shortcuts * Connect to data bases * Use functions such as ... Can analyze simple issues with low complexity; Can give perspective to the team addressing basic ...

Delaware North

People Analytics Workday Analyst

Buffalo, NY · On-site

$66K - $89K/yr

Experience with Workday, Tableau, and Python or SQL required; e xperience with Databricks strongly preferred * Strong knowledge of HR metrics and experience in data analysis and reporting * Excellent ...

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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How much do python analytics jobs pay per hour?

As of Jun 24, 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 the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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.

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.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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 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
Sr. Python and Snowflake Developer (Onsite)

Sr. Python and Snowflake Developer (Onsite)

Cognizant

Buffalo, NY • On-site

$117K - $158K/yr

Full-time

Posted 29 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

Job Summary:
Cognizant is seeking a Sr. Python and Snowflake Developer who will be responsible for designing, developing, and optimizing data solutions using Snowflake and Python technologies. The role involves collaborating with cross-functional teams to ensure seamless data integration and processing, while also focusing 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:
Required:
• 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.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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