2 results for Analytics Implementation Engineer in San Ramon, CA

San Francisco, CA
onsite
Permanent
100000 - 150000 USD / Yearly
Our client is an early-stage, high-growth startup building products that are actively used and loved by real users. They are looking for a Full Stack Engineer (3–6 years of experience) who is excited about building impactful products in a fast-paced, startup environment — and who has interest or exposure to AI. This is a fully onsite role in San Francisco - (must be already living in San Francisco Bay Area to be considered) About the Role As a Full Stack Engineer, you’ll play a key role in designing, developing, and maintaining modern web applications. You’ll work across the stack to build clean, scalable features and collaborate closely with a small, highly motivated team. This is an opportunity for someone who genuinely enjoys building things — especially products that people use every day. What You’ll Do Design, develop, and maintain full stack applications Build user-facing features using React and Next.js Develop and integrate backend services using Python (Flask) Write clean, efficient, and maintainable TypeScript code Debug, test, and optimize application performance Collaborate closely with cross-functional teammates in a fast-moving startup environment Contribute to AI-powered features and generative AI initiatives
2026-03-10T00:00:00Z

Palo Alto, CA
onsite
Temporary
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely. Responsibilities: • Perform detailed data analysis to identify trends, anomalies, and actionable insights. • Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets. • Collaborate with internal teams to support data-driven decision-making processes. • Extract and process data from systems like Workday, ensuring accuracy and relevance. • Adapt quickly to changing priorities and efficiently handle multiple tasks. • Assist with fraud detection and prevention through data investigation and analytics. • Prepare comprehensive reports and visualizations to effectively communicate findings. • Support the implementation and optimization of tools such as Pave and Radford. • Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals. • Provide training and guidance on system usage and data interpretation as needed.
2026-03-13T00:00:00Z