Junior Data Analyst

Description We are looking for the next Data Analyst to join our growing team! If you enjoy working in a dynamic and fast-paced startup environment, this opportunity is perfect for you! Our customers come from a wide range of industries, populating our datasets with extraordinary amounts of rich and diverse data. About Us Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals. Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift. Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.

Responsibilities You will be a part of the Data team and work with a wide range of data sources and types Be an integral part and improve our data pipeline and the client onboarding process Be in charge of analyzing complex datasets and translating them into valuable insights. Work closely with our clients and understand their needs. Data visualization both for internal and external purposes. You will take a significant role in the AI model design and creation Build data analysis infrastructure.

Requirements 1 year of experience - advantage B.Sc in Industrial Engineering, Computer Science, Mathematics, Statistics, Economics or equivalent - must. Excellent SQL knowledge - must. Fluent in English (speaking and writing) - must. Ability to work independently on large projects and get things done. Experience with cloud providers such as AWS or GCP - advantage. Experience working in a Linux environment - advantage. Coding skills - Python (and Pandas), Bash - advantage. Excellent communication skills. Working experience as a data analyst is an advantage. Experience in the Marketing industry - advantage.