Senior Data Analyst, Investor

🕒 September 15

🇺🇸 United States – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 5%

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

• Join a sector team covering industries such as consumer goods, software, or financial services • Develop deep expertise in proprietary datasets and methodologies • Own analytical data products and workflows end-to-end • Ensure data accuracy and reliability while improving product methodologies • Analyze massive datasets to answer client questions • Identify methodology gaps, derive insights, and uncover opportunities • Tackle complex data problems and test new datasets • Use AI and tooling to increase speed, reduce manual work, and automate workflows • Build repeatable processes and validate AI-generated outputs • Partner with Research, Engineering, Product, and other teams • Improve products, methodologies, datasets, and team processes • Potentially develop investment methodologies, build research products, evaluate alternative datasets, create AI-powered workflows, and design dashboards or AI experiences

🎯 Requirements

• 4+ years of experience in data analytics • Ideally experience in financial services, consulting, data science, product analytics, high-growth technology, or a similar environment • Advanced SQL skills • Experience using Python or PySpark to build reliable, reusable analytical workflows and automations • Ability to turn complex datasets into scalable products and methodologies • Ability to develop mental models of unfamiliar businesses, industries, and datasets • Ability to thrive in ambiguous environments and take ownership of problems • Ability to communicate methodologies, assumptions, risks, and tradeoffs clearly to technical and non-technical audiences • Curiosity about industries, competitive dynamics, and company performance • Active use of AI tools and interest in improving analytical product development • Must not currently or in the future require visa sponsorship in the United States

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Comprehensive benefits, perks, and competitive salary • Remote work within the United States