Research analyst

Title: Research Analyst Intern

Department: Research & Evaluation?

Report to: Research Analyst, Research & Evaluation?

Compensation: $22.00/hr?

Location: Hybrid - 2 days/week in office?

Start/End Date: January - May, 15 - 20 weeks??

Hours:

The Research Analyst Intern must commit to two (2) days a week in the office for approximately 20 hours per week. The Research & Evaluation team operates on a 10am-6pm office schedule. Depending on the team's needs, you will join us in person at SEO offices two days per week. You will work with your supervisor to determine your weekly schedule and will receive advance notice of any changes.

All candidates must be within commutable distance of SEO's offices at 55 Exchange Place, New York, NY 10005, upon hire.

ABOUT SEO

Founded in 1963 during the Civil Rights Movement, SEO closes educational and career opportunity gaps for 7,000 ambitious young people annually.

Internship Overview

This is a project-based internship, where you will have the opportunity to work on real-world data challenges and develop your professional portfolio in service of our SEO Scholars outcomes: getting accepted into 4-year colleges and graduating with a bachelor's degree ( ).

As the Research Analyst Intern working under the Research & Evaluation (R&E) team, you will leverage various data sources and analytical techniques to extract insights, supporting the work of SEO Scholars' New York, San Francisco, Guilford County, and Miami sites. You'll work closely with the R&E team to make sense of key program data collected to support program evaluation and improvement through standard and ad-hoc analyses. The internship will culminate in a capstone project tailored to your skills and interests, where you'll take ownership of a major initiative and showcase your contributions with a tangible deliverable, supported by the Research Analyst, Data Management Intern and the project team.

In this role, you will:

• Assist in preparing visualizations and reports for key stakeholders.

• Provide analysis to support academic program needs and improvements.

• Provide quality assurance in executive summaries, projects, forms, and presentations.

• Explore opportunities to streamline data processing and visualization through statistical computing software (R, Python, Stata)

• Participate in other special projects as needed.

Through this internship, you will have the opportunity to:

• Be a key player and contribute to multiple projects for various stakeholders.

• Manage one major project from start to finish (capstone)

• Work across multiple teams and provide input on a variety of data-related projects, and

• Improve your technical abilities in tools such as Python, R, SQL, Salesforce

Qualifications

• Pursuing a Bachelor's degree with a concentration in Economics, Psychology, Business, Data Analytics, Information Sciences or similar quantitative/qualitative background.

• Coursework in quantitative or qualitative research methods

• Comfortable using advanced Excel skills: e.g., complex formulas, pivot tables, and graphs

• Proficiency in a programming language (R/Python preferred)

• Knowledge of relational databases and SQL queries

• Excellent written and verbal communication skills to clearly communicate technical concepts

• Must be a reliable and responsible team member capable of employing best judgment while handling sensitive and confidential information.

• Meticulous attention to detail.

• Strong problem-solving skills.

• Solid verbal, written, and interpersonal communication skills.

• A deep connection to and curiosity for SEO's mission, vision, and core values.

This is a part-time, hybrid internship out of SEO's New York City office. Eligible candidates must be within a commutable distance of 55 Exchange Place, NY, NY 10005 upon hire. This position is a 15-20 hr/week commitment, from January - May 2025 (flexible).

COMPENSATION & BENEFITS

This position is benefits ineligible per local, state, and federal regulations.

The compensation listed in this posting reflects what SEO believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the applicant's skills, qualifications, and experience and the position's requirements, and SEO reserves the right to modify this pay range at any time.

EEOC Policy

At SEO we are committed to cultivating a team that embodies the backgrounds and experiences of the constituencies we serve and the communities we live in, and a workplace that reflects the impact we make in the world. Candidates from all communities - including people of color, women, members of the LGBTQIA+ Community, veterans, and people with disabilities are strongly encouraged to apply.

Equal Employment Opportunity is not just the law, it is our commitment.

Sponsors for Educational Opportunity is an Equal Opportunity/Affirmative Action Employer - M/F/D/V. We will consider all qualified applicants for employment regardless of race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, parental status, genetic information or characteristics, or any other legally protected status.

If you need accommodation while applying for a role with SEO, due to a disability, please email SEO Talent ([email protected]) .

THE ORGANIZATION

Established in 1963 by Michael Osheowitz, SEO ( (Sponsors for Educational Opportunity), is an educational non-profit focused on improving outcomes for students from underserved backgrounds. For over 60 years, SEO has been an innovator in education, mentorship, and creating educational programs and opportunities that maximize the full potential of our participants. Each year SEO serves 7,000+ participants nationally, and the organization is widely recognized for developing best-in-class programs with exceptional results.

Not every SEO participant is on the same journey, but all are hungry for opportunity and SEO creates an ecosystem of excellence. Learn more about SEO's programs here: