Senior Data Analyst

🕒 October 8

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 5%

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Logo of YipitData

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

• Own data strategy and execution for a portfolio of client deliverables within new sectors • Drive product success through accuracy, client value, and efficiency • Partner with product and revenue leaders to set and achieve ambitious targets • Serve as a subject-matter expert for emerging sector data • Partner with GTM teams on client conversations, explain methodologies, address questions, and align data solutions with client needs • Investigate and resolve data quality issues and implement scalable fixes • Design, standardize, and maintain scalable workflows as coverage expands • Own and evolve sector categorization frameworks, including core taxonomies and custom client categorizations • Operate as a player-coach, setting quality, speed, and innovation standards while mentoring and empowering the team • Partner cross-functionally with Data, Insights, Revenue, and Engineering to drive ARR growth and optimize processes and pipelines • Report to the Head of Data

🎯 Requirements

• 8+ years of experience in data analytics, data operations, or consulting • 2+ years in a lead or management capacity • 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets • Familiarity with Github and Databricks • Strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies • Experience building and maintaining production-grade data workflows • Strong ownership mindset • Strong communication skills • Ability to work and project manage effectively with stakeholders across technical and non-technical teams • Must not currently or in the future require visa sponsorship • Work authorization in the United States

🏖️ Benefits

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

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