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 Analyst
🕒 June 10
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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
• Become the primary owner of high-impact data deliverables • Design, maintain, and run comprehensive QA processes • Serve as a trusted resource for clients and stakeholders • Independently investigate and resolve complex data quality issues • Collaborate with Insights and Engineering teams • Identify opportunities to improve efficiency and data quality
🎯 Requirements
• 4-6 years of experience in data analytics, data operations, or consulting • 4+ years of experience working with SQL, Python, Pyspark, or other programming languages • Familiarity with Github and Databricks • Experience using sample or panel data for precise estimates • Ability to clearly communicate complex concepts • Strong ownership mentality • Ability to manage multiple projects independently • Enjoy mentoring peers and raising quality standards
🏖️ Benefits
• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement
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