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Self Employed Data Analyst R Programming Jobs in Rochester, NY

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Sr Professional, Business Analyst

Rochester, NY · On-site

$91K - $117K/yr

... process re-engineering methodologies (e.g., Lean, Six Sigma), and quantitative data analysis ... self. From a flexible working model to competitive time off and standout health coverage with ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Sr Data Scientist

Rochester, NY · On-site

$77.22 - $115.82/hr

Works with and advises key stakeholders to provide analysis and insights to enable data-driven ... R, Python preferred* Considerable experience with relational databases required.* Strong attention ...

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... data analysis techniques to discern patterns and trends - Collaborating with team members to ...

Lead Metrology Engineer

West Henrietta, NY · On-site

$112.70 - $169.10/hr

Perform and lead Measurement System Analysis (MSA), including GR&R, uncertainty quantification, and ... Improve measurement throughput, automation, and data acquisition systems for production ...

You'll work alongside senior analysts, developers, and department leaders to gather requirements, validate reports and data, and support the systems that power our care management work - building ...

Familiar with C++ and data analysis software. * Experience or knowledge in the GR&R process ... Excellent interpersonal skills, energetic, motivated, and self-driven * Demonstrate ability to work ...

Financial Analyst

Rochester, NY · On-site

$60K - $80K/yr

... Timing (R-PNT) solutions and custom engineering services to U.S. Government agencies, defense ... timely financial data within Microsoft Dynamics 365 Business Central * Analyze financial and ...

... Timing (R-PNT)solutions and custom engineering services to U.S. Government agencies, defense ... timely financial data within Microsoft Dynamics 365 Business Central * Analyze financial and ...

... Timing (R-PNT) solutions and custom engineering services to U.S. Government agencies, defense ... timely financial data within Microsoft Dynamics 365 Business Central * Analyze financial and ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

... prepare data for analysis and product use. • Write mission-critical code: Develop clean ... Required : • 3-5+ years of professional data engineering experience. • 2-3+ years of hands-on ...

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

... Analytics & AI Looker, Power BI, Vertex AI, Gemini What You Bring * 5-8+ years of professional data engineering experience. * Deep, expert-level proficiency with Python . * Deep, expert-level ...

Showing results 21-40

Self Employed Data Analyst R Programming information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do self employed data analyst r programming jobs pay per year?

As of Aug 20, 2026, the average yearly pay for self employed data analyst r programming in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What are the most commonly searched types of Data Analyst R Programming jobs in Rochester, NY?

The most popular types of Data Analyst R Programming jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Self Employed Data Analyst R Programming jobs?

Cities near Rochester, NY with the most Self Employed Data Analyst R Programming job openings:

Data Solutions Engineer

Paychex

Rochester, NY • On-site, Remote

$113K - $135K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

236th of 494 rated business services


Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.


Overview
The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence, and large-scale data operations. The role will involve collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.
Responsibilities
  • Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure. Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations
  • Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Azure Data Factory. Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards.
  • Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
  • Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

  • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
    • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
    • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
    • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
    • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
    • Snowflake SnowPro - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

  • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

    • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
      • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
      • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
      • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
      • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
      • Snowflake SnowPro - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom


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    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media