Lead complex analytical projects, develop strategic insights, and implement advanced analytical models to drive data literacy and adoption. Collaborate with business partners to translate complex data findings into actionable recommendations, fostering a data-driven culture within the organization.

This role is within the Data Science & Analytics team, focusing on building data tools, supporting experimentation, developing predictive models, and extracting data-driven insights. You will analyze complex data, leverage quantitative analysis, and collaborate with cross-functional teams to optimize marketing performance and drive business strategies. You need 3-5 years of data analysis experience.

You will work with the Associate Director of Strategy Analytics to evaluate and influence our global Freemium strategy. You'll play a crucial role in the growth and direction of Spotify as we grow to 600M+ users around the globe and monetize the product at scale. Above all, your work will impact the way the world experiences music, podcasts, and audiobooks!

Drive data-driven decision-making and process optimization by developing analytics models and enhancing reporting tools. The analyst will ensure seamless operations throughout the Amazon Prime activation process and collaborate cross-functionally with teams like Merchandising, FP&A, and Planning to align strategies and monitor performance.

The Carrillo Lab at The University of Chicago is seeking a highly motivated Data Science Analyst to work primarily with lab members on various projects to analyze large data sets. As a key member of our team, this position will develop analytical and statistical pipelines to quantify and identify meaningful insights from transcriptomic, proteomic, and imaging data.

The Data Engineer will be a key team member in developing and delivering DUAL North America's data platform and reporting solutions; This role will help implement the data architecture and data platform roadmap that will enable analytics and reporting for the enterprise; The role requires technical skills to develop data engineering pipelines and business acumen to deliver solutions further business objectives.

The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users, providing machine intelligence-driven solutions to simplify and enhance the customer experience. This role will mentor junior team members.

As an intern on Newsela’s Research Team, you will partner closely with the Lead Research Analyst to help investigate and document Newsela’s educational effectiveness. You will leverage your statistical and technical expertise to conduct quantitative research on student outcomes. You will also use your data visualization and communication skills to develop reports that showcase how Newsela helps kids achieve.

The Lead Bioinformatician participates in the development and validation of cutting-edge technologies for analysis of genetic data, designing and implementing algorithms of varying complexity. They provide technical leadership, develop models for data analysis, and produce high-quality documentation for various audiences.

As the Product Analytics Lead at Vanta, you will lay the foundation for a best-in-class Business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. You'll define the analytics practice for our Product Analytics efforts.