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Institutional Research Analyst Jobs in Rochester, NY

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Institutional Research Analyst information

See Rochester, NY salary details

$38K

$73K

$98.2K

How much do institutional research analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for institutional research analyst in Rochester, NY is $72,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $97,200.00 per year, depending on experience, location, and employer.

What is an institutional research analyst?

Institutional Research Analysts are professionals who collect, analyze, and interpret data to support decision-making within educational institutions, such as colleges and universities. They provide insights on enrollment, retention, student success, and institutional effectiveness by generating reports, conducting surveys, and ensuring data accuracy. Their work helps administrators, faculty, and other stakeholders make informed choices regarding academic programs, policies, and resource allocation.

What are the key skills and qualifications needed to thrive as an institutional research analyst?

To thrive as an Institutional Research Analyst, you need strong analytical skills, statistical knowledge, and experience with quantitative and qualitative research methods, often supported by a degree in statistics, social sciences, or a related field. Proficiency in data analysis software such as SPSS, SAS, R, or Tableau, along with familiarity with database management systems, is typically required. Attention to detail, effective communication, and critical thinking are essential soft skills for presenting findings and collaborating with stakeholders. These skills are crucial for providing accurate, data-driven insights that inform institutional decision-making and policy development.

What are some common challenges faced by institutional research analysts when collecting and analyzing data across departments?

Institutional Research Analysts often encounter challenges such as inconsistent data definitions, varying data quality, and limited access to information from different departments. Navigating these obstacles typically requires strong communication skills and the ability to build collaborative relationships with stakeholders. Analysts must also stay up-to-date with data privacy regulations and ensure data integrity throughout the reporting process. Proactively addressing these challenges helps support effective decision-making and institutional improvement.

What is the difference between Institutional Research Analyst vs Data Analyst?

AspectInstitutional Research AnalystData Analyst
Required CredentialsBachelor's degree in education, statistics, or related field; often requires knowledge of higher education dataBachelor's degree in data science, statistics, or related field; may require programming skills
Work EnvironmentHigher education institutions, research officesVarious industries including finance, healthcare, tech
Employer & Industry UsagePrimarily in educational institutions for policy and planningAcross multiple sectors for data analysis and reporting

Institutional Research Analysts focus on higher education data to support institutional decision-making, while Data Analysts work across industries analyzing diverse datasets. Both roles require strong analytical skills, but their specific focus and work environments differ.

What are popular job titles related to Institutional Research Analyst jobs in Rochester, NY?

For Institutional Research Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Institutional Research Analyst jobs in Rochester, NY look for?

The top searched job categories for Institutional Research Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Institutional Research Analyst jobs?

Cities near Rochester, NY with the most Institutional Research Analyst job openings:

Infographic showing various Institutional Research Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $72,998 per year, or $35.1 per hour.

Quantitative Trading & Research - Algorithmic Execution - Analyst

JPMorgan Chase & Co.

Rochester, NY • On-site

$120 - $180/hr

Other

Posted 14 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

The Quantitative Trading & Research (QTR) Algorithmic Execution group is looking for an associate with the focus on algorithmic execution across macro. The ATS group is one of the biggest execution algo providers. The objective is to research, implement and support state-of-the art algorithmic execution strategies for institutional clients

Job summary

As an Associate in our Algorithmic Execution team, you will collaborate closely with sales and technology partners to design, implement, and support cutting-edge trading strategies. Your work will directly impact the efficiency and success of institutional trading, leveraging advanced analytics and technology to deliver best-in-class solutions.

Job responsibilities

  • Partner with sales to identify and design algorithmic trading solutions tailored to client needs
  • Own algorithmic trading risk and resolve day-to-day execution issues
  • Analyze trading data to identify patterns and revenue opportunities
  • Formulate, analyze, and back test execution strategies
  • Collaborate across teams to deliver innovative solutions and share insights
  • Provide regular reporting and updates to senior stakeholders
  • Maintain strong controls in accordance with company policies and regulatory requirements

Required qualifications, capabilities, and skills

  • Degree in computer science or other quantitative field
  • Strong Java coding skills and experience in algorithmic execution
  • Ability to analyze large data sets and extract actionable insights
  • Excellent communication skills, able to articulate complex concepts clearly
  • Attention to detail, adaptable, and eager to learn
  • Inclusive leadership and collaboration skills

Preferred qualifications, capabilities, and skills

  • Interest in client interaction and engagement
  • Interest in market microstructures and quantitative trading
  • Experience in data handling using KDB
  • Familiarity with modern front-end and cloud technologies
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