Top Analytics Jobs in San Francisco, CA

The Data & Analytics Solution Architect at MCA Connect leads project implementations, mentors junior teammates, and drives continuous improvement. They design and implement data solutions using Microsoft technologies in Azure and On-Prem, ensuring projects are within budget and timeline while communicating with stakeholders.

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

The Survey Operations Analyst will program complex surveys using an in-house scripting language based on Python, manage survey setups and testing across various platforms, address data collection issues, and prepare survey data deliverables. Collaboration with researchers and data analysts is essential to ensure quality and accuracy in survey operations.

The Data Insights Analyst is responsible for acquiring, managing, and analyzing data to support internal teams and client partnerships. Duties include developing reports, communicating client data needs, managing trading partner implementations, and ensuring data quality compliance. The role requires strong analytical skills and proficiency in tools like Excel and SQL, along with client-facing experience.

This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, events, and career advice. HelloFresh aims to innovate in the meal kit industry, providing opportunities for members to make an impact and grow their careers.

As a ROC Risk Analyst I, you will produce reports detailing cyber risk profiles, assist in analyzing advanced cyber threats, and develop methodologies to detect threats. You'll collaborate with customers and support incident response efforts using threat intelligence reporting and repository management.

The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.