Top 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.
As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Pytorch and AWS. Your role includes building AI foundation models and engaging in applied research to enhance customer experiences with innovative AI solutions.
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.
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As an Analyst in Customer Success Analytics at Grammarly, you will define and monitor key metrics, conduct root cause analysis, leverage data to improve customer success, and collaborate with cross-functional teams to enhance data infrastructure. Your role focuses on maximizing customer value, driving product adoption, and supporting revenue growth initiatives.
The Senior Statistical Research Analyst will analyze and interpret complex data sets, providing insights for the financial services industry. Responsibilities include statistical analysis, translating findings into business recommendations, leading projects, and communicating results to various stakeholders. The role requires a strong analytical mindset and experience in both traditional and short-term lending credit data.
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.
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.
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