Data Lead – Central Data Team

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YipitData

WebsiteLinkedInAll Job Openings

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

• Own the lifecycle of a data domain, including processing, validation, tagging, modeling, and downstream usability • Design validation frameworks, monitoring, and QA systems to improve data quality • Develop reusable methodologies and centralized analytical frameworks across business units • Set analytical and technical direction with the Technical Product Manager and Data Engineering Manager • Onboard new datasets with the Data Evaluation team and external data providers • Use AI, automation, and emerging tooling to improve data processing, validation, documentation, and maintenance • Mentor junior analysts and establish domain standards, processes, and culture • Lead projects involving receipt classification, automated QA, dataset onboarding, processing architecture, and standardized business logic

🎯 Requirements

• 6–8+ years of experience in data analytics • Expert fluency in SQL • Experience using Python or PySpark • Ability to build reliable, reusable analysis workflows • Proven ability to quickly learn complex data methodologies and build strong data mental models • Experience leading complex, ambiguous projects with multiple stakeholders • Ability to calibrate analytical rigor to decision stakes • Ability to reason about bias and representativeness • Experience with messy, inconsistent datasets and evolving schemas • Ability to communicate complex concepts, methodology, risks, and tradeoffs clearly • Ability to influence cross-functional partners • Interest and active use of AI tools • Experience in financial services, management consulting, data science, high-growth technology, or another complex-data environment

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity • Annual performance-based bonus eligibility of up to 10%