Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Manager, Data & Analytics, In-Store”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 30 listings · show every listing
…of contact for Managed Merchants in your assigned roster in partnership with their internal DoorDash Account Owners. You will be analytical, have prior experience…
…Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing…
…Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing…
…Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing…
…Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing…
…5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc Ability to…
…management in mobile environments. Hands-on experience with feature flagging systems, experimentation systems, and large-scale mobile application architecture. Strong understanding of data structures…
…in communicating sophisticated analytics, making data-driven insights accessible and actionable. Design or development experience along with operations experience. Proven bottom line project management…
…Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems. Improve data reliability, consistency, and compliance, ensuring…
…About Data Engineering: Data Engineering at Netflix involves building systems to process data efficiently and modeling data to power analytics. These solutions range from…
…a team or independently Analytical, organization and time management skills Comfortable working in a fast-paced, dynamic environment Strong interpersonal communication skills Customer-oriented…
…Mastery of LLMs to rapidly draft renewal communications, synthesize quarterly review data, and prepare executive summaries. Data Analysis: Proficiency in leveraging AI analytics tools…
…Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement. Manage ML projects through all phases, including data quality, algorithm/feature…
…described above - ETL frameworks, metrics stores, infrastructure management, data security. Experience building, shipping and operating reliable multi-geo data pipelines at scale. Experience working…
…described above - ETL frameworks, metrics stores, infrastructure management, data security. Experience building, shipping and operating reliable multi-geo data pipelines at scale. Experience working…
…Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI…
…The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare…
…Analytics Infrastructure and Enablement The Analytics Infrastructure and Enablement team offers a platform that enables data practitioners to develop and manage data models for…
…Online Data Stores and Data Movement platforms—such as fleet management, schema management, control planes, security, and reliability—and turn them into shared, foundational…
…rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30…
…rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30…
…the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly…