As a staff data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestones while deepening love for our brand. You'll shape the company’s strategic direction and tackle a broad range of product and business problems, uncovering unique user insights and identifying and testing critical product improvements.
As the Leader of our Data as a Product (DaaP) initiative within the Enterprise Analytics team, you will be a pivotal change agent in our data transformation, spearheading the shift from traditional, centralized data management to a domain-oriented, data product-based approach. This role will evangelize DaaP concepts and operationalize a federated governance framework required to treat enterprise data as discoverable, trustworthy, and reusable assets.
You will lead user research and customer insights efforts to help MagicSchool deeply understand the needs of educators and administrators. In this role, you will bring rigorous qualitative and quantitative research practices to inform product design, strategy, and customer experience at scale. This role involves designing and executing user research, strengthening the Voice of Customer program, and translating insights into narratives to influence decisions.
Reporting to the Manager, Data Consulting, the Data Consultant serves as a primary point of contact regarding data quality for assigned client accounts. Through ongoing consultation, implementation support and issue resolution, the Data Consultant ensures client meet their business goals using best in class data practices.
Embark on an exciting journey into data engineering and architecture. As a Data Architect you will be at the heart of the organization and support clients to take control of their data and get value out of it by defining a reference architecture for our customers. Work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions.
Build a world‑class data and analytics platform that will reshape automotive retail. You’ll lead the engineering discipline that powers our data lake, warehouse, real‑time clickstream, and applied AI—turning large‑scale data into trusted, high‑impact products our customers use every day.
In this role, you will analyze sales data, create insightful reports, and provide strategic recommendations to enhance sales performance and driving data-driven insights and initiatives to optimize sales performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills and the ability to communicate findings effectively are essential.
A Place for Mom is seeking a Director, Data Products to help build the future of their senior care data ecosystem. This role will define and drive how they systematically collect, organize, and package their internal proprietary data to maximize value for the families they serve and their partners within the senior care space. This director of Data Product role will be at the helm of building their product offering designed specifically for community customers.
Care Delivery’s Capacity & Analytics team is responsible for care team capacity modeling, care team scheduling, data analysis & reporting, and workforce optimization. Omada is hiring a Senior Data Analyst to join Care Delivery’s Capacity & Analytics team to build and improve a capacity model, own analysis in support of care delivery initiatives, and define metrics and KPIs.
Peek is seeking a data-driven Data Analyst to transform data into valuable insights, experiments, and product enhancements. In this position, you'll collaborate with Product, Engineering, Operations, and Leadership, comprehending customer behaviors, pinpointing friction in product flows, and influencing Peek's analytics ecosystem. This is suitable for someone who enjoys SQL, comprehends BI tooling, and is enthusiastic about AI in data work.