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Python Analytics Jobs in Buffalo, NY (NOW HIRING)

Senior Media Analyst

Boston, NY

$83K - $110K/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

Solutions Engineer, Remote

Buffalo, NY · On-site

$120K - $140K/yr

Build advanced analytical models using SQL, Python, and Excel to demonstrate product value. * Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical ...

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 ...

Strong Python and coding skills, with an interest in applying AI-driven tools and automation to trading, execution analysis, market intelligence, and workflow optimisation. * Excellent communication ...

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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 Jul 16, 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 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 a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 salary for Python data analytics?

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

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What cities near Buffalo, NY are hiring for Python Analytics jobs? Cities near Buffalo, NY with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in Buffalo, NY as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $118,112 per year, or $56.8 per hour.
Financial Crimes Reporting & Intelligence - Sr. Analyst

Financial Crimes Reporting & Intelligence - Sr. Analyst

Keybank

Amherst, NY • On-site

$96K - $181K/yr

Full-time

Posted 10 days ago


KeyBank rating

8.4

Company rating: 8.4 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

34th of 149 rated banks


Job description

Location:

4224 Ridge Lea Road, Amherst New York
Job Summary

The Financial Crimes Reporting & Intelligence Sr. Analyst is responsible for sourcing, preparing, and delivering reporting and analytics in support of BSA/AML/OFAC & Corporate Investigations compliance. The candidate will leverage data mining, analytics, and visualization tools to transform complex data into actionable business insights, operational reports, tolerance thresholds, and key risk indicators. The role requires a blend of accountability, technical expertise, and business acumen to meet tight deadlines, drive continuous improvement and meet regulatory expectations.

The ideal candidate will support advanced reporting and analysis, data quality initiatives, and collaborate with stakeholders to align reporting with strategic objectives. This includes identifying and anticipating business needs, translating them into insightful data solutions, and enhancing business and data literacy across the organization. The analyst may also work closely with analytics enablement and data strategy partners to drive innovation, improve efficiency, and support the adoption of enterprise-wide data and analytics strategies.

Key Responsibilities
  • Provide advanced analysis and reporting, leveraging critical thinking and business acumen to source and translate data into business insights to solve business problems.

  • Collaborate with business partners to understand and provide analytical needs.

  • Support regulatory exams and audits by delivering required reports, documentation, and data extracts in a timely and accurate manner.

  • Identify opportunities to automate manual reporting processes and implement scalable, repeatable solutions.

  • Manage personal data pipelines within analytical workspaces.

  • Translate complex data into clear, actionable insights for both technical and non-technical audiences.

  • Promote data and business literacy across the team and broader organization through mentoring, documentation, and knowledge sharing.

  • Stay abreast industry trends, regulatory changes, and emerging technologies to continuously improve reporting practices and tools.

  • Effectively manage and prioritize multiple deliverables.

Required Qualifications

Education & Experience:

  • Bachelor's degree (or equivalent) in Data Analytics, Business Management, Computer Science, Management Information Systems, Statistics, or relevant fields with at least 4 years of relevant experience.

  • Advanced experience with analytical programming languages (SQL, SAS & Python).

  • Experience with analytical tools such as Dataprep, Vertex.AI, Data Fusion, Dataform, Cloud Composer or other Google Cloud Platform tools preferred.

  • Experience with Bitbucket, Github or other code management platforms preferred

  • Proficiency in data visualization tools (Tableau, Cognos, Oracle BI, Power BI, Looker Studio etc.).

  • Advanced proficiency in Microsoft Excel, PowerPoint and SharePoint.

  • Experience with MS Forms, Power Automate & Copilot preferred.

  • Understanding of source systems, data supply chains, and process flows.

  • Ability to work with large datasets and navigate data warehouses.

  • Familiarity with automation and data transformation processes.

  • Ability to translate business questions into data-driven insights.

  • Experience conducting descriptive and diagnostic analytics.

  • Strong communication skills to present findings to technical and non-technical audiences.

  • Proven ability to manage multiple priorities and deliver under tight deadlines.

  • Basic knowledge of banking laws and regulations with emphasis on BSA, AML, and OFAC.

  • 3 or more years of experience in AML, OFAC and/or Fraud data analytics or a similar area.

  • Prior experience with BSA/AML/OFAC/Fraud applications preferred.

  • ACAMS, ACFCS, or similar certifications preferred.

Expected Competencies
  • Communication: Strong written and verbal communication skills; Effectively communicates key points to stakeholders with the right amount of detail; Proactively shares information for those who may have a need to know.

  • Leadership: Serves as a role model, may coach and develop others; provides mentorship to junior staff.

  • Collaboration & Partnership: Establishes a reputation as a collaborative and trusted partner across business, compliance, and technology teams.

  • Execution & Accountability: Ability to manage multiple projects; Ability to deliver high-quality results under pressure.

  • Analytical Rigor: Applies critical thinking and analytical skills to solve complex problems and generate actionable insights. Possesses intellectual curiosity.

  • Business Acumen: Understands the business; What are the needs and strategy of the business.

  • Data Stewardship: Champions data quality, completeness, and documentation. Identifies and defines critical data elements for reporting and decision-making.

    COMPENSATION AND BENEFITS

    This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

    Please click here for a list of benefits for which this position is eligible.

    Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

    Job Posting Expiration Date: 07/12/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

    Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

    #LI-Hybrid

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    About KeyBank

    Sourced by ZipRecruiter

    Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

    Industry

    Banking and credit intermediation

    Company size

    10,000+ Employees

    Headquarters location

    Cleveland, OH, US

    Year founded

    1849