Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics)
Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized b
Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing self-service analytics capabilities, and experience with BI tools (Tableau, Looker, Omni). Knowledge and understanding of data platform architecture (data
Strong understanding of how drone-collected data is used for AI training, including its role in training AI for perception, navigation, and decision-making. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating A
Deep domain knowledge across enterprise data platform, including data engineering and pipeline acceleration, post-training data preparation and curation, data pipeline for RAG and semantic search. Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technolog
The Portfolio Management (PM) Data Analytics team is the analytics engine behind Portfolio Management - owning the tools and reporting infrastructure that Netflix planners and strategists rely on to make decisions at both site and portfolio scale. Strong understanding SQL, Python, and/or R skills fo
In this role, you will partner cross-functionally to understand the seller journey, how data is data collected and managed for the purpose of tracking and controlling seller compliance and mitigating the exposure resulting from non-compliance and fraud. Implementing internal and regulatory mandates
Applicants for the Head of Data Science and Advanced Analytics position at the company should hold an advanced degree in a quantitative field and have a minimum of 10-15 years' experience in advanced analytics, data science, and AI/ML research and development, preferably in the pharmaceutical or hea
The Reporting Analyst will assist in managing the interpretation and analytics reporting, providing data to Insights Analyst who will be working with clients to provide insights & performance. Contribute with building measurement/analytics tools and platforms reflect the best and most appropriate so
Samsung is looking for a skilled Developer to join their data analytics team in San Jose, California. The ideal candidate should have practical experience with distributed systems, Hadoop stack, and a solid understanding of REST services. The position offers an exciting opportunity to work with emer
Ideal candidates should have 2-3 years of ad management experience, particularly with social advertising, and be comfortable working in a fast-paced start-up environment. San Francisco is seeking an experienced Ad Account Manager to launch and optimize Facebook ad campaigns for mobile apps. The role
This role involves supporting and evolving the company's enterprise analytics platform through data engineering, analytics delivery, and reporting, focusing on cloud data platforms like Snowflake and Power BI. The ideal candidate will have a strong background in SQL, Python, and modern cloud archite
Deep understanding of analytical tools and dashboarding technologies, data warehousing, software, and applications (SQL, Tableau, AWS, Python, Machine Learning). Build models and dashboards to monitor and optimize business performance, support decisions, and forecast revenue. Interpret data trends a