Senior Data Analyst, Data Feeds

🕒 September 14

🇺🇸 United States – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 commercial data products end-to-end, from methodology development and product QA to feature design and ongoing product evolution • Investigate complex data quality issues across upstream datasets, product methodologies, and downstream customer outputs • Build scalable monitoring, validation, and QA frameworks • Work with Product Managers, Data Science, and Central Data to shape product evolution • Evaluate internal and third-party datasets and methodologies for accuracy, coverage, and customer value • Design experiments and quantify tradeoffs for production decisions • Partner with Product Managers, Client Strategy, and investors to translate feedback into product improvements • Use AI agents, automation, and evaluation frameworks to improve QA, documentation, methodology development, and customer-facing analytical experiences • Identify opportunities to create new analytical capabilities, improve client workflows, and expand customer interaction with data products • Collaborate with Engineering, Quant Research, and Client Strategy

🎯 Requirements

• 4+ years of experience in data analytics • Background in financial services, consulting, data science, product analytics, or another environment where complex data informs high-stakes decisions • Advanced SQL skills • Experience using Python or PySpark to build reliable, reusable analytical workflows • Ability to build products, not just analyze data • Ability to develop strong mental models for complex datasets and reason through ambiguity • Experience leading complex cross-functional projects involving Product, Engineering, or analytical stakeholders • Ability to balance rigor with pragmatism and make tradeoffs between speed, quality, and long-term product value • Experience working with messy, evolving datasets • Ability to communicate technical concepts, methodologies, assumptions, and tradeoffs to technical and business stakeholders • Active use of AI tools • Candidates must not currently or in the future require visa sponsorship

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Comprehensive benefits • Bonus • Equity • Fully remote work within the United States