Top Data & Analytics Jobs in San Francisco, CA
The Data Architect-Manager at PwC will design and develop data solutions, focusing on data infrastructure, processing, and analysis. Responsibilities include managing projects, mentoring team members, collaborating on data requirements, and ensuring compliance with data governance policies.
This managerial role at PwC involves leading data engineering efforts, focusing on designing and building data infrastructure, developing data pipelines, and mentoring team members. You will enhance business insights through effective data management and ensure compliance with governance and security policies.
The Cloud Data & Analytics Senior Manager will lead teams in implementing cloud data architectures, help clients align their data strategies with business goals, and utilize various cloud platforms to optimize data management and analytics solutions.
As a Machine Learning Engineer on the Search and Discovery team, you will design and implement machine learning solutions for search and recommendation systems, collaborating with teams to enhance user experiences and drive content distribution. You will balance technology research with practical application, focusing on user needs and technical innovation.
The Senior BI Engineer will design and implement scalable business intelligence platforms, create aggregate datasets, and support analytics frameworks to facilitate data-driven decisions for WBD's streaming and digital products. You will work with a global team to provide business-ready data solutions and ensure effective data usage across various teams.
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The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate across Capital One teams, and advocate for semantic technology implementation supporting data strategy initiatives. Responsibilities include guiding ontology-based product development, managing data modeling roadmaps, leveraging technology for solutions, and mentoring junior staff.
As a Senior Analyst in Sales Operations, you'll collaborate with sales leadership to develop strategies, manage pipeline processes, drive growth initiatives, and improve sales reporting and forecasting while ensuring data integrity across CRM systems.
As a Program Analyst Banker, you will collaborate with a team to provide tailored financial recommendations to clients, prepare essential meeting materials, conduct in-depth research, and manage client communications. This role requires developing customized financial strategies, analyzing client objectives, and preparing for promotions based on performance during the two-year Analyst Program.
In this role, you will enhance data management processes to support financial operations and revenue growth at Gusto. Responsibilities include leading data management and reconciliation, overseeing financial operations of partnerships, establishing guidelines for new products, and collaborating on strategic initiatives for a successful IPO.
As a Senior Data Analyst at Gusto, you will leverage data to support strategic decision-making, collaborate with various teams to identify growth opportunities, analyze data for insights, and develop visualizations and reports to communicate findings effectively.
The Analyst in Customer Success Analytics at Grammarly will support the Customer Success business by defining and tracking key performance indicators, conducting root cause analysis, leveraging product adoption data, building predictive models for customer behavior, and collaborating with cross-functional teams to enhance data infrastructure for effective decision-making.
The Data Analytics Partner at Dropbox will leverage People data to provide insights and influence strategies across the organization. Responsibilities include supporting analytics projects, collaborating with stakeholders, ensuring data accuracy, utilizing statistical techniques, and adapting to business needs in a fast-paced environment.
As a Security Analyst, you'll coordinate investigations, drive incident response, and research security risks. You'll communicate effectively across teams, automate processes, and enhance security practices while ensuring the integrity of sensitive data in a fast-paced biotech environment.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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