YipitData
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.
Data Product Associate
🕒 June 29
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YipitData
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.
📋 Description
• Ramp up quickly to become the primary owner of high-impact data products • Design, maintain, and run comprehensive QA processes • Independently investigate and resolve complex data quality issues • Serve as a trusted resource for internal and external stakeholders • Collaborate cross-functionally with Insights and Engineering • Proactively identify opportunities to improve efficiency, robustness, and data quality
🎯 Requirements
• 3-5 years of experience in data analytics, data operations, or consulting • 3+ years of experience working with SQL, Python, PySpark, or other programming languages • Familiarity with Github and Databricks • Experience using sample or panel data • Proven track record of quickly learning new concepts • Strong ownership mentality • Ability to manage multiple projects simultaneously • Enjoy mentoring peers • Preferred: Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers
🏖️ Benefits
• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement
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