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Part Time Data Analyst Jobs in Rochester, NY (NOW HIRING)

CROSSMARK1

Retail Data Collection Associate - PT

Victor, NY

$14.50 - $16.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

Visionworks

Optometric Assistant Part Time

Batavia, NY · On-site

$17 - $25.50/hr

Ability to read, analyze and interpret insurance forms * Follow procedures and instructions * Read ... Operate and enter data into electronic software platforms efficiently and accurately Essential ...

Asteroom

Home Inspector

Rochester, NY

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Driver's License (Required) Employment Type: PART_TIME

Pronexus, LLC

Senior Accountant

Pittsford, NY · On-site

$68K - $85K/yr

Senior Accountant *Part-Time or Full-Time, Remote, On-Site, and Hybrid Opportunities Available ... Review and analyze financial data to identify variances and discrepancies, resolving issues ...

Pronexus, LLC

Senior Accountant

Rochester, NY · Remote

$68K - $85K/yr

Senior Accountant *Part-Time or Full-Time, Remote, On-Site, and Hybrid Opportunities Available ... Review and analyze financial data to identify variances and discrepancies, resolving issues ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Rochester, NY

Part Time Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do part time data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for part time data analyst 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.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

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

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

What are popular job titles related to Part Time Data Analyst jobs in Rochester, NY?

For Part Time Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Part Time Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Part Time Data Analyst jobs?

Cities near Rochester, NY with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Rochester, NY as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Data Retrieval Specialist

Penfield, NY • On-site

Penfield Central School District
501 - 1,000 employees
Learn more about Penfield Central School Districtexternal

$23/hr

Full-time, Part-time

Posted 15 days ago

Job description

Posting August 31, 2026

DATA RETRIEVAL SPECIALIST (#1726)

OVERVIEW

This position involves retrieval, organization and tabulation of data used in the planning, research and evaluation of a school district's instructional and enrollment needs, objectives and programs. Employees of this class supervise the retrieval of data for use in projects and programs by analyzing computer printouts or manually searching through school records and reports. The employee reports directly to and works under the general supervision of an administrator. Does related work as required.

TERMS OF EMPLOYMENT

  • District Office
  • 7:30 am  - 4:00 pm, 1/2 hour unpaid lunch
  • $23.00/hr. Starting
  • 12 months, work summers & school breaks
  • Effective Immediately
  • Must be on the current Civil Service list or qualify to sit for the exam

RESPONSIBILITIES

  • Oversees the retrieval and organization of student data through various educational source systems;
  • Responsible for all SIRS data collection and reporting;
  • Oversees applicable data retrieval for state aid reporting;
  • Coordinates census data for elementary and secondary school student population; Compiles and tracks mobility data relative to flow of student population;
  • Coordinates all activities related to the collection of all accountability data;
  • Coordinates with the Special Education office on the collection and maintenance of Special Education data;
  • Directs the collection of all statistical data for Basic Education Data Systems (BEDS) and Office of Civil Rights, including all necessary in-service and building coordination;
  • Collaborates on data integration with technological systems such as Infinite Campus, Frontline, Mosaic, etc.;
  • Serves as liaison to BOCES MAARS for state reporting;
  • Attends District/BOCES meetings as requested;
  • Prepares statistical reports;
  • Supports additional district data reporting or analysis needs as they arise to ensure accuracy, compliance and continuity of district data operations

QUALIFICATIONS

Must currently hold the Data Retrieval Specialist title or be on the current Civil Service Eligible list for Data Retrieval Specialist or meet the Monroe County Civil Service minimal qualifications listed below:

  • Graduation from high school or possession of an equivalency diploma plus EITHER: 

(A) Graduation from a regionally accredited or New York State registered college or university with a Bachelor's degree, plus one (1) year of paid full-time or its part-time equivalent experience involving the compilation, organization and analysis of statistical data, or activities associated with data retrieval; OR,

(B) Graduation from high school or possession of a high school equivalency diploma, plus five (5) years of experience as defined in (A) above; OR,

(C) An equivalent combination of training and experience as defined by the limits of (A) and (B)

DEADLINE: September 14, 2026



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