Top Marketing Tech Data & Analytics Jobs in San Francisco, CA

The Quality Analytics Specialist develops analytical processes for quality excellence in manufacturing, utilizing data methodologies to optimize performance and compliance while collaborating with teams for actionable insights.

Oversee client proposals and projects, enhance data processes, drive client engagement, mentor teams, and contribute to organizational development in the life sciences sector.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

The Staff Analyst - Data Governance will develop and manage the data governance framework, ensuring data quality and compliance across the organization while fostering a data-driven culture through collaboration and strategic visioning.

The role involves leading analytics for product and marketing, defining measurement strategies, running experiments, and developing predictive models to optimize growth and performance.

The role involves leading a team to grow and retain business in online communities and panels, managing recruitment, engagement, and data quality while overseeing the operational excellence and compliance within global markets.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Growth Engineer will design and optimize GTM systems to enhance revenue efficiency through data analysis, automation, and experimentation, collaborating with teams to convert ambiguous problems into structured processes.

The role involves designing user-friendly analytics tools, building scalable data models, and delivering analytical insights to improve decision-making across teams, particularly in People and G&A functions.

As the Client Insights Lead Analyst, you will create analytics strategies, lead data analysis, collaborate with teams, and communicate insights to clients effectively.