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Full Time Python Data Analysis Jobs in Rochester, NY

Experience using Python or R for analytics or automation. * Experience working within a team, and ... Validate and quality-check data sources, queries, and visualizations to ensure accuracy ...

Job Summary: Collects, analyzes, and interprets operational data to improve distribution ... Experience using Python or R for analytics or automation. * Experience working within a team, and ...

... Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic experience with data ...

... Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic experience with data ...

... Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic experience with data ...

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Demonstrated ability to profile and analyze source data from complex or poorly documented systems * Proficiency in Python for data processing and pipeline support * BS degree in Computer Science ...

Senior Data Engineer

Rochester, NY · Remote

$104K - $142K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...

... Python with scikit-learn * Proficiency with exploratory data analysis * Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files * Experience with data visualization ...

... Python with scikit-learn * Proficiency with exploratory data analysis * Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files * Experience with data visualization ...

... Python with scikit-learn * Proficiency with exploratory data analysis * Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files * Experience with data visualization ...

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 ...

Python Developer IV

Webster, NY · On-site

$111K - $174K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... The benefits described apply to full-time employees. Benefits for part-time, contract, and intern ...

Python Developer IV

Webster, NY · Remote

$111K - $174K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... UNAVAILABLEEmployment Type: FULL_TIME

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 ...

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Full Time Python Data Analysis information

See Rochester, NY salary details

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

As of Jul 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.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

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.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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 is a Full Time Python Data Analysis job?

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
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:
What cities near Rochester, NY are hiring for Full Time Python Data Analysis jobs? Cities near Rochester, NY with the most Full Time Python Data Analysis job openings:
Infographic showing various Full Time Python Data Analysis job openings in Rochester, NY as of July 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.
Sustainability Data & Reporting Analyst

Sustainability Data & Reporting Analyst

Cooper Companies

Victor, NY

$71K - $95K/yr

Full-time

Posted 18 days ago


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

Job Summary: 

The Sustainability Data & Reporting Analyst (hereafter "the role") supports the collection, structuring, and reporting of sustainability-related data across the organization. This role focuses on improving the accuracy, consistency, and timeliness of environmental data used for internal reporting and external disclosures.

Knowledge, Skills and Abilities:

Required:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)
  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.
  • Strong analytical and problem-solving skills with the ability to work with structured and unstructured data
  • Hands-on experience with data visualization tools such as Tableau (required)
  • Proficiency in Microsoft Excel, including data manipulation and analysis
  • Foundational understanding of data structures, data flows, and data governance principles
  • Strong attention to detail, particularly when working with data accuracy and transformation
  • Experience working across multiple systems and identifying relevant data sources (e.g., ERP, financial, or operational systems) to support data analysis and reporting
  • Comfortable operating in a dynamic environment with evolving data requirements and changing business needs
  • Strong verbal and written communication skills, with the ability to explain data concepts to non-technical stakeholders
  • Demonstrated ability to manage multiple tasks and priorities in a fast-paced environment
  • Capable of working independently once priorities are defined, with a proactive approach to problem-solving

Preferred

  • Familiarity with sustainability, environmental science, or ESG reporting concepts (e.g., Scope 1, 2, 3)
  • Exposure to product, packaging, or material data within enterprise or ERP systems
  • Exposure to ERP systems (e.g., Oracle, SAP, Baan) and understanding of how transactional data is structured and sourced
  • Understanding of data quality challenges related to sustainability or regulatory reporting
  • Experience using SQL, Python, or similar tools for data analysis or preparation
  • Experience working with large or complex datasets across multiple systems
  • Familiarity with enterprise systems or data pipelines
  • Internship or academic project experience involving real-world data analysis

Work Environment 

  • This is an on-site position requiring regular in-office attendance (5 days a week) in Victor, NY.
  • Standard office environment with regular computer-based work. May include prolonged periods of sitting and working with data across multiple systems

Experience:

  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.

Education:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $71,971.00 and $95,961.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

#LI-AK1

  • Collect, consolidate, and validate sustainability-related data from multiple internal systems, ensuring consistency, accuracy, and alignment to reporting requirements
  • Work with IT to support data integration, transformation, and flow into reporting systems
  • Support the preparation and maintenance of standardized data templates and assist in transforming data into formats required for sustainability reporting systems
  • Support the delivery of accurate and timely sustainability reporting aligned to internal and external requirements
  • Assess and validate that evolving sustainability data requirements (e.g., regulatory changes, transition from estimated to actual data) are supported by existing data structures and reporting systems
  • Support and coordinate user acceptance testing (UAT) activities, ensuring sustainability data outputs are aligned with business requirements and validated prior to reporting and downstream use
  • Identify and resolve data quality issues (e.g., inconsistencies, missing data, and unit conversions) and document data sources, processes, and assumptions to support transparency and audit readiness
  • Support the ongoing monitoring and validation of sustainability data, helping ensure quality issues are identified and resolved proactively to maintain audit readiness and reporting accuracy
  • Collaborate with cross-functional teams (e.g., EHS, IT, procurement, facilities, packaging engineering, and operations) to understand data sources and improve data collection, traceability, and consistency
  • Support efforts to improve and automate sustainability data collection processes to reduce manual effort and increase scalability
  • Support the collection, structuring, and validation of packaging and material composition data required for emerging regulatory requirements (e.g. EPR, recyclability, plastics disclosure)
  • Assist in mapping sustainability and packaging-related data to evolving regulatory and reporting requirements across global jurisdictions
  • Support the development of scalable data structures and governance processes for sustainability data
     

Travel Requirements:

  • Occasional domestic and international travel may be required (5-10%+ annually)
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