Generate behavioural insights to inform product decisions by analyzing user interactions to identify trends, pain points, and opportunities for improvement and enable self-service insights by building interactive dashboards and data visualizations. Improve marketplace observability through data creation and ask the right questions.

As part of the larger implementations team, Associate Conversion Data Analysts extract data from customers' legacy databases, analyze that data and then create data maps to customer’s new Bloomerang databases. This role requires a high level of detail, creative thinking and collaboration between teams.

Take the lead in building Monte Carlo's next-generation Machine Learning capabilities. This is a high-impact role where you’ll work on challenging and exciting projects that directly shape the future of data reliability, and collaborate with a tight-knit team of expert data scientists and engineers.

SR level TPM to run standups as well as meet with our customers and take on tasks. Having a strong background in Power BI along with Data Engineering would be the skillset. This role will lead daily standups, engage with customers, and manage tasks effectively. The ideal candidate should have strong program management experience.

The Senior Business Intelligence (BI) Analyst will define, analyze and deliver solutions, in partnership with the business groups, that will be the most appropriate and effective for the customers, internal or external, with a focus on QlikSense, Business Objects and related BI tools. The role will primarily interface with the Business Community, Enterprise Architecture, PMO and Infrastructure groups to deliver these initiatives.

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!

The Data Analyst works cross-functionally with data engineers, data scientists, and business experts to help deliver a better student experience using data and analytics. The analyst collaborates on a variety of projects that include building analytical models, coding, data visualizations, and storytelling. This role supports the Financial Aid department and understanding higher education financial aid systems and regulations.

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.

Use various tools and processes to complete data migrations from other software packages into our products in a timely and accurate manner. Develop procedures and scripts for continuous improvement and repeatable processes. Coordinate database changes and migrations with technical team, projects team and management.