Data Analyst

About YipitData:YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact.We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.Why You Should Apply NOW:The Data Feeds team manages the data feeds business at YipitData. We partner with systematic and quantamental investment firms by providing access to alternative data for investment analytics and model development.Become part of a growing team where your ideas and collaboration will have a direct impact on how we deliver value to top-tier investment firms.About The Role:YipitData seeks a proactive, analytically minded Sales Engineer with +2 years of experience to join our dynamic team. This role will directly influence the growth of our data feed revenue. As a Sales Engineer, you will provide our clients with operational and quantitative development support, enabling them to utilize and evaluate YipitData’s data feeds effectively.We expect East Coast work hours.As Our Sales Engineer, You Will:Provide operational support during client onboarding, with a strong focus on the setup, configuration, and integration of complex data feeds (40% daily focus).Partner closely with Sales to drive product adoption by delivering demonstrations, analyses, and explanations of complex data feeds to clients.Address client queries and maintain strong relationships by ensuring our data solutions align closely with clients’ investment strategies.Develop quantitative documentation, scripts, and use-case examples to facilitate client evaluations, integrations, and ongoing data usage (60% daily focus).Collaborate with Product to improve product features based on client feedback.You Are Likely To Succeed If:Bachelor’s degree in a quantitative discipline or finance-related field.Experience in financial markets (Nice to have); excellent client-facingcommunication skills.Experience working with US clients is highly preferred Proficiency in Python (preferred), SQL, Databricks (preferred), Jupyter, and AWS (Knowledge focused on answering clients’ questions).What We Offer:Flexible PTO for any reason, including sick days (no specified limits)Flexible work schedulePersonal laptopHealth and wellness packageRemote workCandidates must have primary residency (and be physically located) in the country of hire (AKA Colombia) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.