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Data Analyst Python Sql Jobs in Buffalo, NY (NOW HIRING)

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Insights Analyst

Buffalo, NY · On-site

$78K - $124K/yr

Use Python, SQL and other languages to automate report gathering, cleansing & sending to free up proactive resources from having to execute. * Data Analysis: Analyze large datasets, from multiple ...

Technical Data Analyst

Buffalo, NY · On-site

$51K - $85K/yr

Analyze data from multiple sources (QlikView, Salesforce, Epic, Excel, SQL) for report and dashboard requests, to determine best system for reporting and verify structure and quality of data to ...

Experience with enterprise data environments and federated analytics models (preferred) Licenses and Certifications * Training or certification in SQL, Python, Tableau, PowerBI, BigQuery, or other ...

Digital Analyst Internships

Buffalo, NY · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Designs, tests, and documents processes, SQL queries, and stored procedures. * Exp extracting and analyzing data from various sources, including databases, manual files, and external websites. * Ad ...

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 ...

Business Analyst/Data Analyst Location : Buffalo, NY and Chicago, IL Duration : 6+ Months Please ... Target is our common data model but source varies by system it can be XML, DB2, SQL etc * From an ...

Data Quality Lead Analyst

Getzville, NY · On-site

$125K - $131K/yr

Excel, VBA, MS Access, SQL, Tableau and Python; Ad-hoc reporting for senior management; and Project Management for data analytics initiatives. Applicants submit resumes at Please reference Job ID ...

Senior Data Visualization Analyst

Buffalo, NY · On-site

$83K - $105K/yr

Sr. Data Visualization Analyst Advanced PowerBI (min. 5+ yrs. required) Advanced SQL (write expert/advanced queries & handle performance issues) (min. 5+ yrs. required) Business Intelligence ...

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Data Analyst Python Sql information

See Buffalo, NY salary details

$32.9K

$80.1K

$131.7K

How much do data analyst python sql jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst python sql in Buffalo, NY is $80,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Buffalo, NY look for? The top searched job categories for Data Analyst Python Sql jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Data Analyst Python Sql jobs? Cities near Buffalo, NY with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,051 per year, or $38.5 per hour.

Enterprise Data Analyst Senior

M&T Bank

Buffalo, NY • On-site

$103K - $171K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

78th of 171 rated banks


Job description

OVERVIEW:
Specializes in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes. Mentoring junior analysts.
This role encompasses a comprehensive analysis lifecycle, covering requirements gathering, activity execution and design planning. Transforming raw data into structured information which will then be analyzed to glean insights that drive strategic business decisions.
POSITION RESPONSIBILITIES:
Identify the most authoritative sources of data and the most accurate data field(s) when domain data is sourced for internal projects and/or products by querying databases. Maintain advanced knowledge of domain's products and services, and an advanced understanding of how data supports those offerings.
Wrangle complex data sets using SQL or Python scripting for analysis and delivery purposes. Locate and explain data assets and connect them across different platforms and formats for multiple use cases.
Understand and document complex data flows for multiple business user stories, profile and review complex mappings and specifications across multiple use cases, develop enterprise level data solutions for problem statements, and perform complex data analysis across multiple use cases.
Prepare, create and execute large project, end to end test plans and scripts using SQL, Python, scripting and/or automation to test multiple/complex user stories.
Applies intermediate knowledge of their business domain including Business Operations, Business Processes, Data Flows and uses of Data in order to provide appropriate data to inform business decisions.
Mentor junior analysts in understanding M&T's data policies and procedures.
Translate business data needs into technical source-to-target mapping specifications and sample data mock-ups that provide clear direction to data engineers to enhance current data products in collaboration with stakeholders.
Conduct root-cause analysis of defects and triage these to the relevant teams for resolution depending on the root cause
Conduct impact analysis ahead of proposed business and/or technical changes
Communicate proposed data flows or source-to-target mappings along with their pros, cons, known limitations, variance materiality etc. to a variety of stakeholders, including business SMEs, product owners, data modelers, data engineers.
Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
Promote an environment that supports diversity and reflects the M&T Bank brand.
Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.
MINIMUM QUALIFICATIONS REQUIRED:
Bachelor's degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
Experience pulling data from Structured Query Language (SQL) platforms
Experience completing user acceptance testing for data products
Basic knowledge of data management
Knowledge of data cataloging and data lineage tools
Experience querying data that has been modeled in various techniques, e.g., slowly changing dimensions vs snapshots, key-value pairs vs normalized vs wide-table formats etc.
Experience developing source-to-target mappings in various data delivery patterns, e.g., full data loads vs CDC (change data capture) formats
IDEAL QUALIFICATIONS PREFERRED:
Experienced working as a member of an Agile Team
Experienced leading / mentoring team members on all analyst activities
Experience in creating data flows and high-level solutions with data
Advanced skills in SQL
Advanced knowledge of data management
Knowledge of assigned domain products, systems, and workflows
Data classification and privacy experience
Experienced using Data Governance Tools
Knowledge of statistic, data science techniques and tools
We support our team members with generous benefits.
  • Competitive compensation
  • Health, welfare, and retirement benefits
  • 401(k) match at 5%
  • Work-life balance and flexible work arrangements
  • Banking Officers start with 25 days PTO plus 12 paid holidays
  • 40 hours paid volunteer hours per year
  • Much more. For details, see: M&T Benefits Overview

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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