Latest Data Analysis & Reporting Jobs

Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read

The Learning Center also works with a diverse portfolio of funders and partners - including Managed Care Plans, purchasers such as Covered California, and foundations including the California Healthcare Foundation and Blue Shield Foundation of California- to build Population Health Management (PHM)

You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF

Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders. Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit

The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Continuously evaluate recent and upcom

Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac

Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Strong Python ski