Data Engineer

OSI Engineering • Full-time • Menlo Park, CA, US • $135k - $145k / year • 3h ago

Data Analytics Engineer

Job Summary:

We’re seeking an Analytics Engineer, a data-powered problem solver who bridges the gap between business needs and analytical systems. You’ll be the first line of insight generation: rapidly answering business questions, prototyping tools, and enabling stakeholders through AI-assisted self-service and scalable solutions. This role is ideal for someone who thrives on quick iterations, sharp analysis, and automating away repetitive work.

Responsibilities:

Use advanced SQL and analytical thinking to turn ambiguity into answers.
Develop quick prototypes (dashboards, reports, notebooks) that guide business decisions.
Build lightweight, scalable solutions like recurring dashboards, alerts, and data monitors.
Create and manage AI copilots or agents to enable business users to self-serve insights via natural language.
Maintain documentation and usage examples that teach others how to use available data effectively.
Work with data engineers to identify gaps in raw data or modeling.
Influence data architecture and metric definitions by bringing real user needs to the table.
Own and maintain existing business-critical reports across departments, and partner directly with stakeholders across Product, Marketing, Finance, and Operations.

Qualifications:

2+ years of experience in data roles (e.g. analyst, BI engineer, analytics engineer)
Fluency in SQL and experience with BI/reporting tools
Experience with Python for notebook-based analysis and Agent development
Strong grasp of business fundamentals and metrics-driven thinking
Experience with AI tools, copilots, or scripting for automation is a strong plus
Prior exposure to dbt or light transformation logic preferred

Location: Menlo Park, CA (hybrid)

Type: Full Time

Salary Range: $135-145K (DOE) + bonus