Senior Data Analyst - YipitData (Remote OK). Location: United States (remote-friendly; HQ in NYC). About YipitData: a leading market research and analytics firm for the disruptive economy. In this role you will be the primary owner of high-impact work such as building and running data products end-to-end, managing centralized data ingestion pipelines, and creating clean granular data feeds to help clients analyze datasets. You will work with massive amounts of data to answer client questions about the companies we cover and the datasets we analyze, applying proprietary methods to ensure data accuracy and derive insights. You will become a trusted resource for internal stakeholders or clients, contributing to data feeds, custom analyses, or data reports used by top investors. You will improve products, pipelines, or feeds by developing new methodologies and expanding use of third-party datasets, and you will create modules to enhance the data experience. You will learn or sharpen SQL and Python skills through a two-month training program covering SQL, PySpark, and Python fundamentals, along with our internal tools and processes. You are likely to succeed if you have an ownership mentality, strong attention to detail, a methodical approach to problem solving, clear communication skills, the ability to manage multiple priorities, and a curiosity-driven mindset to make a big impact at a rapidly growing company. Our compensation package includes a base salary of $73K-$90K, comprehensive benefits, and opportunities for career growth via our ladder based on impact. We offer flexib

Senior Data Analyst - YipitData (Remote OK). Location: United States (remote-friendly; HQ in NYC). About YipitData: a leading market research and analytics firm for the disruptive economy. In this role you will be the primary owner of high-impact work such as building and running data products end-to-end, managing centralized data ingestion pipelines, and creating clean granular data feeds to help clients analyze datasets. You will work with massive amounts of data to answer client questions about the companies we cover and the datasets we analyze, applying proprietary methods to ensure data accuracy and derive insights. You will become a trusted resource for internal stakeholders or clients, contributing to data feeds, custom analyses, or data reports used by top investors. You will improve products, pipelines, or feeds by developing new methodologies and expanding use of third-party datasets, and you will create modules to enhance the data experience. You will learn or sharpen SQL and Python skills through a two-month training program covering SQL, PySpark, and Python fundamentals, along with our internal tools and processes. You are likely to succeed if you have an ownership mentality, strong attention to detail, a methodical approach to problem solving, clear communication skills, the ability to manage multiple priorities, and a curiosity-driven mindset to make a big impact at a rapidly growing company. Our compensation package includes a base salary of $73K-$90K, comprehensive benefits, and opportunities for career growth via our ladder based on impact. We offer flexib