Product Development Associate (US)

Summary

YipitData is the leading market research and analytics firm for the disruptive economy, and they are seeking a Product Development Associate to join their New Product Development team. The role involves evaluating third-party datasets, supporting new product development efforts, and collaborating with various teams to drive projects from idea through evaluation and recommendation.

Responsibilities

• Evaluate and build upon third-party datasets to assess quality, business value, and potential use cases
• Define key questions, success metrics, and analytical frameworks for open-ended projects
• Conduct quantitative analyses and translate findings into actionable recommendations
• Support the development and improvement of new products, datasets, and data-driven initiatives
• Work alongside other analysts to plan, develop, and execute complex projects
• Prioritize high-impact opportunities and drive progress with as much autonomy as possible
• Explore new use cases, methodologies, and applications for datasets and products
• Leverage AI tools, LLMs, and automation to improve research, analysis, and productivity
• Contribute to team knowledge, tooling, and operational efficiency
• Collaborate effectively across engineering, partnerships, product, and business teams

Skills

• Have 2–4 years of experience in data analytics, data science, alternative data, or a related field
• Possess strong SQL and/or PySpark skills and are comfortable working with large datasets
• Have experience with modern data platforms such as Databricks
• Can translate ambiguous business questions into structured analyses and insights
• Demonstrate strong judgment and use data to support recommendations and decision-making
• Are comfortable using AI tools and LLMs to improve efficiency while maintaining independent critical thinking
• Thrive in open-ended environments with high ownership and autonomy
• Communicate clearly and work effectively with technical and non-technical stakeholders or have experience partnering cross-functionally with engineering and business teams
• Are curious, experimental, and excited to uncover new opportunities

Qualifications

Must Haves

• Have 2–4 years of experience in data analytics, data science, alternative data, or a related field
• Possess strong SQL and/or PySpark skills and are comfortable working with large datasets
• Have experience with modern data platforms such as Databricks
• Can translate ambiguous business questions into structured analyses and insights
• Demonstrate strong judgment and use data to support recommendations and decision-making
• Are comfortable using AI tools and LLMs to improve efficiency while maintaining independent critical thinking
• Thrive in open-ended environments with high ownership and autonomy
• Communicate clearly and work effectively with technical and non-technical stakeholders or have experience partnering cross-functionally with engineering and business teams
• Are curious, experimental, and excited to uncover new opportunities

Benefits

• Flexible work hours
• Flexible vacation
• A generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement