Top Hybrid Analytics Jobs in San Francisco, CA
The role involves managing client service accounts, supervising teams, and leveraging technology and data analysis to improve decision-making in deals. Key responsibilities include coaching team members, maintaining quality deliverables, and building tech-driven solutions for client engagements.
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
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The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
The Senior Data Analyst will drive data-informed decision-making across the Developers and App Marketplace Analytics team. Responsibilities include designing databases, building dashboards, writing complex SQL queries for data analysis, setting data quality management practices, and collaborating with various teams on project assessments and insights.
The Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide process improvement recommendations, oversee implementation projects, support system upgrades, troubleshoot issues, and create reports. They will ensure that configurations align with business objectives and facilitate user training.
The Staff Risk Analyst will enhance SoFi's Fair Lending Analytics program, conduct statistical reviews of data for disparate impact, collaborate with Credit Risk and Compliance teams, and incorporate the latest Fair Lending regulations into the program.
The Senior Data Analyst will focus on quantifying compliance risks and driving efficiency within the Cash App Compliance Analytics team. Responsibilities include creating data strategies, developing SQL and Python queries, building databases and dashboards, providing insights on compliance topics, and maintaining knowledge of Cash App products and compliance requirements.
The Analyst will support the Capital Markets team in establishing funding capital through relationships with institutional investors across lending products. Responsibilities include analyzing financing options, negotiating legal agreements, providing collateral performance analysis using Excel, SQL, and Tableau, and ensuring data integrity for investor reporting.
The Lead, Employee Listening & Advanced Analytics at Klaviyo will co-design and manage employee listening and survey strategies, conduct advanced analytics on employee data, leverage innovative listening channels, and provide insights to drive talent experience and outcomes. The role requires collaboration with senior leaders and management of survey operations while ensuring data privacy and security.
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