Top Hybrid Analysis Reporting Jobs in San Francisco Bay Area
Conduct advanced research and modeling to solve strategic HR challenges and improve the employee experience. Design and execute research studies, analyze survey data, present findings to stakeholders, and provide actionable research insights to senior leaders.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
The Sales Compensation Analyst at Asana is responsible for developing and improving sales credited reporting processes, implementing scalable best practices, maintaining internal controls around revenue retention, and collaborating with cross-functional partners to drive business performance and growth. This role requires 4-6 years of experience in sales compensation, finance, or related fields, proficiency in Excel, and strong communication and organizational skills.
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Play a major part in building Large Language Models for Enterprise Language Generation to power the NOW platform with AI experiences. Research, propose, and implement models/techniques to solve real-world challenges in a practical and scalable way. Collaborate with a team to produce quality software and deliver high-impact solutions to users.
The Analyst, Investor Strategy and Execution role at Upgrade involves interfacing with financial institution executives, creating investor marketing materials, managing investor relationships, and guiding financial institutions through the onboarding process. This role is based in San Francisco and requires strong analytical and communication skills.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, possess strong communication and critical thinking skills.
The Staff Risk Analyst, Loss Forecasting role at SoFi involves assisting in the development of loss forecasting models using Python and machine learning, analyzing data to provide insights on drivers for losses, and collaborating with various teams for performance analysis. The role focuses on credit loss forecasting and contributing to successful business outcomes through recommendations based on data analysis.
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In this role, you will play a pivotal role in boosting the company's growth by analyzing website performance, enhancing user sign-up conversion, and improving SEO efforts. You will collaborate with various teams to establish and define website metrics and targets, analyze optimization experiments, and create monitoring dashboards for key pages.
The Staff Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise. Responsibilities include providing statistical programming support, maintaining documentation, developing reusable code, and staying updated on industry developments.
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Develop, test, launch, and scale member banking experience products through data analysis and experimentation. Provide product insights and recommendations to increase adoption, engagement, and retention. Collaborate with various teams to foster a data-driven culture and advise product roadmaps.
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