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Full Time Python Data Analysis Jobs in Rochester, NY

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

... big data analytics at scale. * Build visualizations using Palantir Foundry tools and assist ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ... Build reusable Python components for ingestion, validation, and transformations; enforce standards ...

Data Engineer II

Rochester, NY · On-site

$113K - $135K/yr

Build reusable Python components for ingestion, validation, and transformations; apply standards ... Analytical ability to manage multiple projects and prioritize tasks into manageable work products.

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ...

... big data analytics at scale. * Build visualizations using Palantir Foundry tools and assist ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

... data for analysis and product use. • Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges. • Collaborate and ...

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

... analysis and product use. * Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges. * Collaborate and multiply: Work as a ...

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Full Time Python Data Analysis information

See Rochester, NY salary details

$13

$57

$85

How much do full time python data analysis jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for full time python data analysis in Rochester, NY is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a full time python data analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Rochester, NY?

The most popular types of Python Data Analysis jobs in Rochester, NY are:

Infographic showing various Full Time Python Data Analysis job openings in Rochester, NY as of September 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,307 per year, or $57.8 per hour.

Manager of Data, Analysis & Impact

Rochester, NY • On-site

$24 - $28/hr

Full-time

Posted 7 days ago


Job description

Job Type
Full-time
Description
$24/hr. to $28/hr. with Generous Benefits Including a Free Family YMCA Membership
The Manager of Data, Analysis & Impact builds and delivers the data and analytical capabilities to help the YMCA of Greater Rochester better understand its members, evaluate performance and make informed decisions.
This position oversees data quality and integrity, develops and maintains data flows from key business systems and prepares data for analysis and reporting. The Manager uses SQL, Power Automate, Power BI, Excel and embedded AI capabilities to combine data sources, automate recurring reports, create impactful analyses and publish reliable dashboards.
This position serves as both a hands-on data practitioner and an Association-wide resource. The Manager collaborates with functional leaders, process owners and system owners to understand business needs and deliver reliable, documented and sustainable data solutions. This position requires a commitment to delivering excellent service in alignment with the YMCA's mission and core values.
ESSENTIAL FUNCTIONS:
• Develop and optimize integrated data flows to extract, transform and combine data for quality and integrity assurance, analysis and reporting.
• Partner with leaders, system owners and report users to define business questions and KPIs, prioritize reporting needs, improve data literacy and ensure reports are useful, understandable and appropriately applied in decision-making.
• Conduct recurring and ad hoc analysis using frequencies, trends, comparisons, cross-tabulations and other analytical methods to identify patterns, investigate business questions and diagnose the "why" behind the numbers in order to inform decisions.
• Build and maintain reports and dashboards that provide clear metric tracking and visibility into actionable information about membership, participation, attendance, programs, revenue and customer behavior.
• Advance data governance, including documentation, data definitions, reporting standards, and process improvements
• Establish validation and reconciliation processes that identify data quality issues, investigate discrepancies and build confidence in organizational reporting.
• Support organizational data readiness by documenting data processes, transformations and metrics so solutions are broadly understandable,
• Build organizational data capabilities by helping leaders and staff understand metrics, interpret reports and supporting staff to use analyses and reports for high impact.
• Support Association objectives and goals by demonstrating the YMCA mission and core values.
• Attend all required meetings, trainings, and professional development opportunities.
• Perform other duties as assigned in support of department operations and the YMCA mission.
Requirements
• Bachelor's degree in data science, information systems, computer science, statistics, mathematics, business, accounting or a related analytical field, or an equivalent combination of education and relevant experience.
• 3-5 years' experience working with structured data systems like CRM platforms, POS systems or data warehouses.
• Seeks best practices, guidelines and industry standards to guide performance.
• Possess exceptional technical knowledge and organizational skills to do the job at a high level of accomplishment.
• Strong analytical and problem-solving skills.
• Uses SQL, Power Query, Power Automate, Power BI, Excel and emerging AI-enabled tools to integrate data, automate recurring work, perform analysis and publish reliable reporting.
• Proficient using data exploration, visualization and reporting tools such as Power BI or Tableau.
• Highly attentive to detail, follow through and problem solving.
• Capable of managing multiple tasks and projects concurrently to meet deadlines in a fast-paced environment.
• Ability to work in a self-directed manner and also bring in others to collaborate.
• Ability to communicate technical information clearly to various levels of staff.
• Ability to travel between local YMCA branches
• Ability to represent the YMCA in a mature and professional manner.
PHYSICAL REQUIREMENTS:
• Must be able to sit or stand for the duration of the shift
• Must be able to bend and stoop occasionally
• Must be able to lift at least 25 pounds occasionally
Salary Description
$24 to $28 per hour