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Overnight Quantitative Data Analyst Jobs in Rochester, NY

Guides students through designing experiments, analyzing quantitative data, writing laboratory reports, and applying scientific reasoning to real-world problems. Emphasizes connecting theory to ...

Data Engineer

Farmington, NY · On-site

$112.90K - $135.60K/yr

Data Engineer The role involves leveraging data from multiple third-party sources as well as ... Bachelor's/Master's degree/PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics ...

Applied technical knowledge of Qualitative and Quantitative data analysis, and statistical tools including DOEs. Six Sigma GB/BB or CQE preferred. * Must possess the ability to read, analyze, and ...

Quality Engineer

West Henrietta, NY · On-site

$69.58K - $92.78K/yr

Applied technical knowledge of Qualitative and Quantitative data analysis, and statistical tools including DOEs. Six Sigma GB/BB or CQE preferred. * Must possess the ability to read, analyze, and ...

Analyze data to identify trends, patterns, and friction points, balancing both quantitative data and behavioral insights * Provide regular performance updates and insights to senior leaders ...

Senior Claims Analyst

Rochester, NY · On-site

$85K - $98K/yr

Ensure exceptional data integrity * Proactive communication with insureds, other departments and ... Travel required as needed; may include overnight travel The actual compensation for this position ...

Senior Claims Analyst

Rochester, NY · On-site

$85K - $98K/yr

Ensure exceptional data integrity * Proactive communication with insureds, other departments and ... Travel required as needed; may include overnight travel The actual compensation for this position ...

Analyst, Growth

Rochester, NY · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Strong analytical and quantitative skills with proficiency in Excel/Google Sheets and PowerPoint ...

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Overnight Quantitative Data Analyst information

See Rochester, NY salary details

$55.7K

$132.1K

$236.8K

How much do overnight quantitative data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for overnight quantitative data analyst in Rochester, NY is $132,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $143,600.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Quantitative Data Analyst vs Quantitative Data Analyst?

AspectOvernight Quantitative Data AnalystQuantitative Data Analyst
Work HoursPrimarily overnight shiftsStandard daytime hours
Work EnvironmentFinancial firms, trading floors, or data centersOffices, research labs, or corporate settings
Required SkillsStrong quantitative skills, familiarity with overnight market activitiesAdvanced statistical and analytical skills
CertificationsOften requires finance or data certificationsSimilar certifications, depending on industry

Overnight Quantitative Data Analysts focus on analyzing data during overnight shifts, often related to global markets or overnight data processing, while Quantitative Data Analysts work during regular hours across various industries. Both roles require strong analytical skills and relevant certifications, but their work hours and environments differ significantly.

What job categories do people searching Overnight Quantitative Data Analyst jobs in Rochester, NY look for? The top searched job categories for Overnight Quantitative Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Overnight Quantitative Data Analyst jobs? Cities near Rochester, NY with the most Overnight Quantitative Data Analyst job openings:
Assistant Professor of Data Analytics

Assistant Professor of Data Analytics

SUNY Geneseo

Geneseo, NY • On-site

Full-time

Posted yesterday


Job description

Vacancy Announcement
Position Information
Campus Title
Assistant Professor of Data Analytics
Department
School of Business
Position Summary
The School of Business at SUNY Geneseo is inviting applications for a tenure-track Assistant Professor in Data Analytics to begin August 2025. Duties of the position include:
  • Teaching three 3-credit courses each semester at undergraduate and/or graduate levels. Courses may include Introduction to Data Analytics, Programming in R or Python, Business Analytics, Advanced Data Analytics, Database Systems & SQL, and other courses that align with the faculty's academic preparation and professional experience and meet the evolving needs of business programs.
  • Collaborating with the other faculty members to update existing courses and develop new courses to improve data analytics and other programs offered by the school.
  • Contributing to the field through published scholarship consistent with the AACSB qualification of Scholarly Academics.
  • Engaging with students and the local community through experiential learning, service learning, and extracurricular activities.
  • Providing services to students, the School of Business, the College, and the profession.

Required Qualifications
  • A doctoral degree in economics, management science, data analytics, or related fields from an accredited institution.
  • Demonstrated effectiveness in teaching undergraduate data analytics or quantitative analysis courses.
  • Strong programming skills in R, Python, and SQL.
  • Demonstrated proficiency using online learning platforms and other educational technologies for online teaching.
  • Scholarly potential demonstrated by peer-reviewed journal article publications or high-quality conference papers. Strong work ethic, commitment to continuous improvement, and ability to teach students with diverse backgrounds.
  • Candidates for this position must be legally allowed to work in the United States. VISA sponsorship will not be offered.

Preferred Qualifications
  • Peer-reviewed journal publications in high-quality business or economics journals.
  • Experience in teaching graduate courses.
  • Experience in providing academic and career advice to students.
  • Experience in coordinating and developing curricular and co-curricular programs.
  • Experience in serving on departmental, school, or college committees.
  • Professional work experience in data analytics fields.