Data Analyst Internship

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.
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 intera