Job Description

Title: Data Operations Analyst

Location: San Carlos, CA - Onsite 5 days a week

Salary Range: $150,000 – $160,000

Role Overview

Seeking a detail-oriented Data Operations Analyst to manage key performance metrics, build and maintain dashboards, and deliver data-driven insights for both internal and client-facing purposes. This role is responsible for tracking and communicating operational data, monitoring trends, and supporting ongoing excellence in analytics and reporting.

Core Responsibilities

• Build, refine, and maintain dashboards and queries to track critical KPIs and operational performance.
• Monitor data streams for anomalies, unexpected trends, or technical issues, and collaborate with engineering to resolve problems.
• Parse and analyze data to provide actionable insights in clear, well-structured reports and presentations.
• Drive ongoing internal reporting and deliver polished customer-facing presentations, including monthly city performance reports.
• Respond to ad-hoc data requests from Sales and Customer teams (e.g., creation of charts, slides, or detailed analyses).
• Take ownership of product data assets, ensuring information is effectively leveraged by various teams.
• Identify process improvements related to metrics collection, reporting quality, and dashboard automation.

Requirements

• Demonstrated fluency in SQL and experience querying relational databases.
• Proven track record creating and managing dashboards in BI platforms (Metabase or similar).
• Strong analytical mindset with an eye for detail; capable of identifying trends, outliers, and operational risks.
• Experience tracking, interpreting, and communicating performance metrics to internal or external stakeholders.
• Hands-on comfort with data parsing, KPI tracking, and metric-driven decision making.
• Confident presenter, experienced in developing and delivering slides and reports to customers or executives.
• Capable financial or data analysis skills; able to synthesize numbers into meaningful business narratives.
• Experience with computer vision data or workflows is a significant plus.

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