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

Moog, Inc.

EHS Data Manager

Buffalo, NY · On-site

$80K - $109K/yr

Strong foundational knowledge of data analysis concepts and techniques. * At least five (5) years of experience with tools such as: * SQL and Python * ETL processing * Data warehousing, datalake and ...

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 ...

Danaher

Digital Analyst Internships

Buffalo, NY · On-site

$95K - $112K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

Programming Languages, including Python, MATLAB, C/C++, R and SAS. * Technical Analyses, including ... Data Science concepts, including statistics and probability, exploratory data analysis (EDA ...

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

Programming Languages, including Python, MATLAB, C/C++, R and SAS. * Technical Analyses, including ... Data Science concepts, including statistics and probability, exploratory data analysis (EDA ...

Wipro Limited

MSSQL Database Admin/Developer

Irving, NY · On-site

$60K - $135K/yr

Mandatory Skills - MS SQL, Python, Tableau, QlikView Overview Highly skilled and experienced Lead Developer with a strong focus on data analytics. The ideal candidate will be responsible for the ...

New

Tesla

Data Engineer, Training Transformation

Buffalo, NY · On-site

$110K - $133K/yr

MySQL, Microsoft SQL, MongoDB, Kafka, Hadoop, Hbase, Spark, ClickHouse) • Proficiency in Python for data engineering, automation, and analysis. Knowledge of ETL orchestration tools like Airflow and ...

Openkyber

Data Engineer

Buffalo, NY · On-site

$110K - $133K/yr

Work with data architects, analysts, and stakeholders to ensure data quality and accessibility ... Strong experience with SQL, Python, or Scala * Hands-on with data pipeline tools: Apache Spark ...

Mattel

Lead Data Scientist

East Aurora, NY · On-site

The Team: The Product Quality Analytics team operates within the Global Quality, Safety ... Strong programming skills in Python or R * Advanced SQL and experience working with large scale ...

Formation Bio

Director, Data Science

Boston, NY

$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

Moog

EHS Data Manager

Buffalo, NY · Hybrid

$80K - $109K/yr

Strong foundational knowledge ofdata analysis concepts and techniques. * At least five (5) years of experience with tools such as: * SQL and Python * ETL processing * Data warehousing, datalake and ...

Centivo

Healthcare BI Analyst

Buffalo, NY · On-site

$100K - $115K/yr

Process Optimization : Support the internal teams by using data and root cause analysis to ... Preferred proficiency in Python programming to support automation and advanced analytics ...

Centivo

Healthcare BI Analyst

Buffalo, NY · Remote

$100K - $115K/yr

Process Optimization : Support the internal teams by using data and root cause analysis to ... Preferred proficiency in Python programming to support automation and advanced analytics ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Buffalo, NY

Python Data Analysis information

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$83

How much do python data analysis jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python data analysis 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 Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are popular job titles related to Python Data Analysis jobs in Buffalo, NY? For Python Data Analysis jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Buffalo, NY look for? The top searched job categories for Python Data Analysis jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Python Data Analysis jobs? Cities near Buffalo, NY with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Buffalo, NY as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $118,112 per year, or $56.8 per hour.

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Buffalo, NY

$125K/yr

Other

Posted 13 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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