Cornell Tech
Cornell Tech

60 Cornell University Data Analyst Jobs Hiring Near You

... Tech, and the Cornell Mui Ho Center for Cities. The college spans three locations-in Ithaca, New ... Strong analytical and problem-solving skills, with attention to detail. * Experience contributing ...

... Tech, and the Cornell Mui Ho Center for Cities. The college spans three locations-in Ithaca, New ... Document research processes, material tests, and outcomes for analysis and reporting. * Assist in ...

Electrical Engineer

Ithaca, NY · On-site

$72.21K - $77.63K/yr

Electrical Engineer Research Support Specialist II - Pay Band F Cornell Laboratory for Accelerator ... Designing instrumentation, system control, equipment protection, power conversion, and data ...

Open Scholarship Librarian

Ithaca, NY · On-site

$67.50K - $77K/yr

As part of the Research Data and Open Scholarship (RDOS) group, the Open Scholarship Librarian ... well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City.

... at Cornell is a leader in purpose-driven, interdisciplinary science focused on complex global ... Maintain and extract student data for field, college, and university reporting. * Liaise with the ...

Showing results 41-60

Cornell Tech Jobs Information

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most popular categories at Cornell University?
Temporary Research Aide

Temporary Research Aide

Cornell University

Ithaca, NY • On-site

Part-time

Posted 12 days ago


Job description

The College of Architecture, Art, and Planning at Cornell University (Cornell AAP) includes the departments of Architecture, Art, City and Regional Planning, the Paul Rubacha Department of Real Estate (jointly led by AAP and the SC Johnson College of Business), the multicollege Department of Design Tech, and the Cornell Mui Ho Center for Cities. The college spans three locations-in Ithaca, New York City, and Rome, Italy-each with world-class facilities and cutting-edge technologies.
Cornell AAP is about acts of transformation. We are committed to reimagining and reshaping the world in new ways, every day. A vital college at one of the nation's foremost research universities, Cornell AAP brings faculty, staff, and students together from around the world to address urgent global challenges and advance collaborative, research-driven approaches that support a more just and resilient future.
Purpose of the Position:
This Temporary Research Aide position supports faculty-led research under the supervision of Jenny Sabin as part of the URoL:EN NSF-funded project. The role is critical to advancing the next phase of material and fabrication testing, with a focus on robotic fabrication workflows and software development.
The position requires specialized technical knowledge and prior experience working within the lab environment, particularly in developing software tools that support robotic fabrication processes. This is a short-term, in-person appointment designed to ensure continuity and progress in a mission-critical phase of the research.
Duties and Responsibilities may include:
  • Support the development and refinement of software tools for robotic fabrication systems, building on prior lab work and established workflows.
  • Assist in implementing and testing computational methods and scripts used in material and fabrication processes.
  • Contribute to the next phase of material and fabrication testing, ensuring accuracy and consistency with prior experimental results.
  • Collaborate with faculty and research staff to integrate software outputs with physical fabrication systems and material experiments.
  • Maintain and organize codebases, digital models, and related research documentation.
  • Assist in analyzing results from robotic fabrication processes and preparing findings for internal review and academic dissemination.
  • Provide technical and research support to ensure timely progression of project milestones.

Knowledge, Skills, and Experience:
  • Demonstrated experience in robotic fabrication, computational design, or related technical fields.
  • Proficiency or familiarity with programming and scripting languages (e.g., Python, C#, or similar) used in fabrication workflows.
  • Experience working with digital modeling tools and fabrication technologies.
  • Ability to work independently on technically complex tasks with minimal supervision.
  • Strong analytical and problem-solving skills, with attention to detail.
  • Experience contributing to interdisciplinary research projects in a lab or academic setting.

Requirements:
  • Prior experience in the Sabin Lab or similar research environment involving robotic fabrication systems.
  • Demonstrated ability to contribute to software development supporting fabrication processes.
  • Familiarity with the URoL:EN NSF project or related research workflows strongly preferred.
  • Ability to support both technical development and research execution in a collaborative environment.
  • Strong organizational and documentation skills to support ongoing research activities.

Location: Ithaca Main Campus, 129 Sibley Hall, 921 University Ave, Ithaca, NY 14853
Supervisor: Jenny Sabin
University Job Title:
Temporary Research Aide
Job Family:
Temporary Academic Support
Level:
No Grade - Hourly
Pay Rate Type:
Hourly
Pay Range:
Refer to Posting Language
Remote Option Availability:
Onsite
Company:
Contact Name:
Ann Owens
Contact Email:
aao29@cornell.edu
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2026-05-20