Internship - Data Analyst

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). Originally posted on Himalayas