Data Product Analyst, Signals

🕒 April 21

🗽 New York – Remote

🗽 New York – Remote

💵 $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Product Analyst

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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

• Become a core owner of Signals data products – you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform • Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems • Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients • Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution • Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations • Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement • Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast—whether that's adding new data to the platform, improving accuracy, or reducing data lag times • Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements • Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible.

🎯 Requirements

• 4–6 years of experience in data analytics, data operations, consulting, or a related field • 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you’re familiar with GitHub and Databricks • Experience using sample or panel data to make precise estimates that guide decision-making • Proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving • You are scrappy and resourceful—you figure things out without waiting to be told what to do • You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly • You have excellent attention to detail and a natural instinct for spotting data anomalies • You communicate clearly and concisely—both in writing and verbally • You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making • You take ownership of problems and drive them to completion without constant oversight—on a small team, self-direction is essential.

🏖️ Benefits

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.