
201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
🔥 1 minute ago
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
• 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 across engineering, partnerships, product, and business teams.
• 2–4 years of experience in data analytics, data science, alternative data, or a related field. • Strong SQL and/or PySpark skills. • Comfortable working with large datasets. • Experience with modern data platforms such as Databricks. • Ability to translate ambiguous business questions into structured analyses and insights. • Strong judgment and ability to use data to support recommendations and decision-making. • Comfortable using AI tools and LLMs while maintaining independent critical thinking. • Comfortable working in open-ended environments with high ownership and autonomy. • Clear communication and effective collaboration with technical and non-technical stakeholders. • Experience partnering cross-functionally with engineering and business teams. • Curiosity and an experimental mindset. • Expected availability during East/West Coast/etc. work hours. • Must not currently or in the future require visa sponsorship.
• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity as part of the total compensation package
Apply Now🕒 April 22
Product Development Scientist at AMVAC commercializing new agricultural technologies and supporting existing products. Collaborating cross-functionally to enhance product performance and market delivery.