Senior Data Analyst at Button
Remote — full-time
Button is building the future of the commerce-powered internet — enabling performance marketing and monetization at scale across marketplaces, brands, and creators. We’re creating products that unlock new value at the intersection of discovery, engagement, and conversion. Our mission is to empower the companies shaping the creator and affiliate economy — fueling mobile growth with innovation and new paths to monetization. As a Senior Data Analyst, You Will: Analyze and interpret data trends across Button’s platform, across which billions of dollars in commerce and advertising transactions flow, with a focus on product performance, customer behavior, and operational efficiency. Demonstrate strong proficiency in SQL for data extraction, analysis, and reporting tasks. Deliver actionable insights that inform product strategy, improve customer experiences, and drive platform growth across affiliate, programmatic, and retail media channels. Build and maintain dashboards and reporting frameworks to keep internal teams and leadership aligned on key performance metrics. Evaluate and refine analytical methodologies to ensure data accuracy, enable better forecasting, and support experimentation. Automate data workflows, reporting pipelines, and dashboards to scale analytics capabilities. Partner closely with product, engineering, and marketing teams to translate data insights into user and business impact. We Look for Teammates Who: Use data to tell compelling stories that influence decisions and inspire product improvements. Have curiosity for exploring user behavior, product engagement, and marketplace dynamics. Are comfortable working independently in a fast-paced environment, proactively identifying areas for optimization and efficiency. Have a strong desire to sharpen their skills in analytics, experimentation, and business intelligence. Thrive in cross-functional collaboration, working with experts across engineering, product, revenue, and marketing. Experience Level: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field. 4+ years of experience in data analysis, preferably within digital advertising, affiliate marketing, e-commerce, or financial analytics. Strong analytical and quantitative skills, with a focus on financial modeling, ad performance, campaign optimization, and revenue impact. Experience working with large datasets and using data visualization tools such as Omni, Looker, or similar BI tools. Strong proficiency in SQL is a must; experience with BigQuery or other cloud-based data warehouses preferred. Experience designing, running, and interpreting experiments using Statsig to drive data-informed decision making. Understanding of financial metrics such as revenue forecasting, cost-per-acquisition (CPA), return on ad spend (ROAS), and lifetime value (LTV). Excellent communication skills, with the ability to translate complex financial and technical insights into actionable recommendations