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Job Description
Graduate Leadership Program | Data Analyst | Further
The Tone:
This is a full-time hybrid role at Further, located in Cleveland, OH. Further is a data, cloud, and AI company focused on helping organizations convert raw data into informed decisions for brands like Verizon and American Cancer Society. This role is crucial for applying university training to real-world client challenges, driving powerful insights from the start, and building a strong foundation for a career in data analysis within a professional services environment. You will launch your career by turning data into information, information into insights, and insights into business decisions.
The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Hybrid, Cleveland, OH
• Mission: Help companies turn raw data into the right decisions by providing powerful insights and strategic solutions.
• Tech Stack: Adobe Analytics, Google Analytics, Looker, Tableau, SQL, Python, R, ChatGPT, Claude, GitHub Copilot
What You’ll Actually Do
• Contribute: Contribute to client projects and strategic solutions early in your tenure.
• Transform: Transform complex datasets into compelling narratives using modern tools to derive actionable insights and ensure data integrity.
• Support: Support the full experimentation lifecycle by designing statistically sound hypotheses and analyzing A/B test results to validate business ideas.
• Communicate: Interact with stakeholders to gather requirements, ensure transparent communication, and apply a hypothesis-driven approach to solve business problems.
• Develop: Grow your skillset with certifications and hands-on mentorship, progressing towards completing tasks and assignments independently by year-end.
The Must-Haves
• Background: Completed a Bachelor’s or Master’s Degree between Fall 2025 and Spring 2026 in Statistics, Mathematics, Research, Economics, Quantitative Psychology / Sociology, or another applicable degree. Entry-Level.
• Experience: Beginner proficiency or coursework in research, basic statistical literacy, and basic data visualization. AI Fluency with a baseline understanding of Generative AI tools (such as ChatGPT, Claude, or GitHub Copilot) and a demonstrated ability to apply prompts to accelerate delivery.
• Skills: Research, basic statistical literacy, basic data visualization, generative AI tools.
• Bonus: SQL, Python, or R proficiency, and/or relevant internships or project experience.