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Senior Python Data Analysis Jobs in Rochester, NY

Senior Data Engineer

Rochester, NY ยท Remote

$104K - $142K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ...

Data Analyst 1

West Henrietta, NY ยท On-site

$28K/yr

This role focuses on performing basic data analysis, preparing simple reports and visualizations, working on minor tickets (break/fixes, investigations, etc.), and providing support to senior ...

This role focuses on performing basic data analysis, preparing simple reports and visualizations, working on minor tickets (break/fixes, investigations, etc.), and providing support to senior ...

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 ...

Data Analyst 2

West Henrietta, NY ยท On-site

$71K/yr

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 ...

Python Technical Lead

York, NY ยท On-site

$129K - $159K/yr

Python AI/ML Should have very good work experience in SQL Python AI/ML Candidate should be a Python ... 3NF data modeling PL/SQL Snowflake Domain Skills- Technology - Analytics Shift Day 9AM TO 6PM EST ...

Data Engineer - Remote

Rochester, NY ยท 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 ยท 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 ยท 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 ...

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Senior Python Data Analysis information

See Rochester, NY salary details

$54.3K

$140.1K

$192.4K

How much do senior python data analysis jobs pay per year?

As of Jul 8, 2026, the average yearly pay for senior python data analysis in Rochester, NY is $140,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $161,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
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 job categories do people searching Senior Python Data Analysis jobs in Rochester, NY look for? The top searched job categories for Senior Python Data Analysis jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Python Data Analysis jobs? Cities near Rochester, NY with the most Senior Python Data Analysis job openings:
Senior Data Engineer

Senior Data Engineer

Troutman Pepper

Rochester, NY โ€ข Remote

$104K - $142K/yr

Full-time

Posted 14 days ago


Job description

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as keys to a stronger future.

We invite you to explore the position below and to submit your application to join our team!

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports utilizing database technologies and financial software. The Senior Data Engineer will build and maintain small, curated datasets and a centralized data lake integrating data from multiple cloud-based applications and Azure databases and will support data retrieval and analysis through Power BI dashboards.

Essential Duties and Responsibilities

  • Design, develop, and maintain ETL processes and data structures following best practices.

  • Work with data integration (ETL), data modeling, data quality, data governance, enterprise data warehouse (EDW), and analytical tools.

  • Develop efficient SQL stored procedures, views, and queries with a strong understanding of data structures, data integrity, and indexing.

  • Utilize SSIS, SSRS, and SSMS for ETL, reporting, and analysis of data.

  • Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases.

  • 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 teams/departments.

  • Act as a knowledge resource and facilitator for data retrieval in support of all administrative business units.

  • Identify opportunities to drive innovation, improve data processes, and enhance the accuracy, reliability, and usability of information.

Knowledge, Skills and Abilities

  • Strong SQL and data engineering skills.

  • Hands-on experience with Azure, APIs, Microsoft Fabric, SSRS, SSIS, SSAS, Power Apps, Power Automate, Power BI, and Python.

  • Strong analytical and problem-solving skills.

  • Excellent written and oral communication skills.

  • Demonstrated ability to add value, build efficiency, and improve accuracy and reliability of information.

  • Strong awareness of deadlines and commitment to delivering high-quality work on time.

  • High level of discretion and sensitivity to confidential information.

  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

  • Ability to synthesize information from a wide variety of sources and produce clear, concise, client-ready deliverables.

  • Proficiency with Microsoft Office products and related tools such as Excel, SSRS, Power Apps and PowerShell.

  • Blend of technical and business skills, along with strong interpersonal skills, developed through experience in data analysis, database design, and application development.

Education and Experience

  • Bachelors' degree in Computer Science, Management Information Systems, or related field.

  • Minimum of eight (8) years of relevant work experience with ETL, data integration and migration, and strong SQL.

  • Minimum of three (3) years of experience with Datawarehouse technologies, Power BI development and administration, and working with and translating company financial data into executive-level reports and KPI's.

  • Experience in creating and deploying ETL processes using SSIS required.

  • Hands-on experience to create Python scripts and automate the internal processes required.

  • Experience with Fabric and Aderant preferred.

  • Prior law firm or professional services experience beneficial.

#LI-Remote

The Firm will comply with any applicable city or state workplace mandates in effect in regards to Covid-19.

This position description is intended to describe the general content of and requirements for the performance of the job. The statements contained in the position description are not necessarily all-inclusive and additional duties and responsibilities may be assigned as determined by business needs.

This position description does not constitute a written or implied contract of employment.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

By applying for this position, you agree and understand that Troutman Pepper Locke will process your Personal Information pursuant to the terms of our Worker and Applicant Global Privacy Notice. If you have questions about our data handling practices, or you are a resident of California, the United Kingdom, or the European Union and wish to exercise your privacy rights, please contact us at privacy@troutman.com.

Equal Employment Opportunity
Troutman Pepper Locke adheres to a policy of equal opportunity and will make all employment decisions, which include hiring, promotion, transfer, demotion, evaluation, compensation and separation, without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, pregnancy, citizenship, disability, genetic information, marital or armed forces status and any other classification as protected by law.

Compensation is dependent on several factors, such as position, location, market, education, training, and/or experience.

Hiring Salary Range:

$120,000.00 - $170,000.00