Job description

DATA ANALYST INTERNSHIP WHO WE ARE: Passion for Life is a non-profit organization that operates with the power of dedicated interns like you. We help under-resourced youth transform their passions into rewarding careers. Our mission is to provide forward-thinking career coaching and immersion opportunities driven by the students’ passions and talents in a fun, structured, and high-energy environment. Passion for Life was created to be a high-energy and engaging process that helps students identify their passions and gain clarity on how to utilize their core strengths and talents to select a career. POSITION SUMMARY The Data Analyst Intern plays a critical role in advancing the organization's mission by transforming raw program and operational data into clear, actionable insights. Working collaboratively across program, development, and leadership teams, this position supports data-driven decision-making by designing and maintaining evaluation frameworks, producing compelling reports and dashboards, and ensuring data integrity throughout the organization. The ideal candidate is both analytically rigorous and mission-passionate, with the ability to communicate complex findings to both technical and non-technical audiences. While this is an unpaid internship position, there are many exciting internal and external rewards to consider. What you gain Gain valuable hands on experience in nonprofit educational sector Make a meaningful impact on the lives of underserved communities Increase your networking opportunities and collaborate with knowledgeable teams Boost your untapped potential and master new skills Flexible scheduling and potential for recommendation letters PRIMARY RESPONSIBILITIES Data Analysis & Program Evaluation: Conduct regular impact assessments, needs analyses, and program evaluations using both quantitative and qualitative methodologies to measure effectiveness and inform continuous improvement. Data Management & Governance: Oversee data collection, cleaning, storage, and management in compliance with organizational standards, confidentiality policies, and applicable data governance requirements. Reporting & Data Visualization: Create user-friendly, visually engaging reports and dashboards for both technical and non-technical stakeholders, including program teams, leadership, and funders. Evaluation Framework & Strategy: Design and maintain robust evaluation frameworks that measure program outcomes, align with organizational goals, and inform strategic decision-making. Collaboration & Capacity Building: Partner with program, development, and leadership teams to deliver data insights that support program enhancement and assist staff in building data literacy for day-to-day use. Technical Skills: Leadership and Delegation: Ability to lead research initiatives and delegate tasks effectively to team members or collaborators. Research Platforms: Proficiency in research platforms and tools, including Python, Qualtrics, Microsoft Office Suite, and Java. Analytics: Skilled in statistical and data analytics software (e.g., SPSS, SAS, R), with a strong foundation in analyzing complex datasets. Data Collection and Cleaning: Experienced in data collection methods and techniques, ensuring clean, accurate, and reliable data for analysis. Qualitative and Quantitative Data: Competent in both qualitative and quantitative research methodologies, applying each effectively to capture comprehensive insights. Evaluation Design: Ability to design robust evaluation frameworks that measure outcomes and inform strategic decisions. Creating Reports and Sharing Data: Skilled in creating clear, compelling reports and dashboards to communicate findings effectively to stakeholders, including program teams and funders. Editing and Proofreading: Strong attention to detail in reviewing reports, ensuring clarity, coherence, and accuracy in documentation. Research and Evaluation Planning: Skilled in planning and executing research projects aligned with organizational goals. Instructional Design Principles and Learning Theory: Knowledgeable in instructional design (ID) principles, learning theory, and educational frameworks to support effective program evaluation. Graphic Design and Multimedia: Familiar with tools such as Articulate, Captivate, and other eLearning and multimedia platforms, capable of creating engaging visuals and interactive reports. QUALIFICATIONS Education Bachelor's degree in Data Science, Statistics, Mathematics, Social Sciences, Public Policy, Human Services, or a related field required. Master's degree or certifications in research methods, program evaluation, or data analytics (e.g., SAS, SPSS, Google Data Analytics, or equivalent) preferred. Students with relevant majors and coursework aligned to the above are encouraged to apply for the intern role. Experience 1–5 years of experience in data analysis, program evaluation, or research, ideally within a nonprofit or mission-driven organization. Proven experience conducting impact assessments, needs analyses, and program evaluations; community-based program familiarity strongly preferred. Experience working across cross-functional teams and communicating findings to non-technical audiences. Additional Information Estimated time commitment: 9-10 hours/ week depending on needs, in addition to weekly meetings and occasional conference calls. Term limit: 4-month unpaid intern position (Can be extendable on mutual agreement).

Requirements

Must-haves

While this is an unpaid internship position, there are many exciting internal and external rewards to consider.
What you gain
Gain valuable hands on experience in nonprofit educational sector
Make a meaningful impact on the lives of underserved communities
Increase your networking opportunities and collaborate with knowledgeable teams
Boost your untapped potential and master new skills
Flexible scheduling and potential for recommendation letters
Data Management & Governance: Oversee data collection, cleaning, storage, and management in compliance with organizational standards, confidentiality policies, and applicable data governance requirements.
Reporting & Data Visualization: Create user-friendly, visually engaging reports and dashboards for both technical and non-technical stakeholders, including program teams, leadership, and funders.
Evaluation Framework & Strategy: Design and maintain robust evaluation frameworks that measure program outcomes, align with organizational goals, and inform strategic decision-making.
Collaboration & Capacity Building: Partner with program, development, and leadership teams to deliver data insights that support program enhancement and assist staff in building data literacy for day-to-day use.
Leadership and Delegation: Ability to lead research initiatives and delegate tasks effectively to team members or collaborators.
Research Platforms: Proficiency in research platforms and tools, including Python, Qualtrics, Microsoft Office Suite, and Java.
Analytics: Skilled in statistical and data analytics software (e.g., SPSS, SAS, R), with a strong foundation in analyzing complex datasets.
Data Collection and Cleaning: Experienced in data collection methods and techniques, ensuring clean, accurate, and reliable data for analysis.
Qualitative and Quantitative Data: Competent in both qualitative and quantitative research methodologies, applying each effectively to capture comprehensive insights.
Evaluation Design: Ability to design robust evaluation frameworks that measure outcomes and inform strategic decisions.
Creating Reports and Sharing Data: Skilled in creating clear, compelling reports and dashboards to communicate findings effectively to stakeholders, including program teams and funders.
Editing and Proofreading: Strong attention to detail in reviewing reports, ensuring clarity, coherence, and accuracy in documentation.
Research and Evaluation Planning: Skilled in planning and executing research projects aligned with organizational goals.
Instructional Design Principles and Learning Theory: Knowledgeable in instructional design (ID) principles, learning theory, and educational frameworks to support effective program evaluation.
Graphic Design and Multimedia: Familiar with tools such as Articulate, Captivate, and other eLearning and multimedia platforms, capable of creating engaging visuals and interactive reports.

Nice-to-haves

Master's degree or certifications in research methods, program evaluation, or data analytics (e.g., SAS, SPSS, Google Data Analytics, or equivalent) preferred.
Proven experience conducting impact assessments, needs analyses, and program evaluations; community-based program familiarity strongly preferred.

Application prep

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Keywords to mirror

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