Senior Data Operations Analyst

Brain Corp•San Diego, CA

6d•Onsite

About The Position

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is at the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines. The Senior Data Operations Analyst owns the hands-on work behind our operational data — turning raw, multi-stage robotic and fleet data into trustworthy, well-defined, and monitored metrics the organization can rely on. Working directly in BigQuery, this person defines the metrics decisions are built on, validates their accuracy, and builds the monitoring and tooling that keep operational data trustworthy at scale. The ideal candidate is equally a hands-on data investigator and a rigorous systems thinker, comfortable working through messy, ambiguous data to pin down what metrics actually mean — and making sure that knowledge is documented and accessible across the organization.

Requirements

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
4+ years in data operations, analytics engineering, business analytics, or a related technical data role, or equivalent demonstrated ownership of data/analytics work.
Strong SQL and hands-on experience in a cloud data warehouse (BigQuery preferred).
Proficiency with BI / data visualization tools (Grafana, Looker, Power BI, Tableau).
Working proficiency in Python (or equivalent scripting) for data work and automation.
Experience designing dashboards or data-monitoring systems for operational or quality metrics.
Comfort with messy, multi-stage data and ambiguous field semantics.
Self-directed: identifies what matters without being told, and can hold their own in a definitional conversation with engineering.
Strong communication and stakeholder skills across technical and non-technical audiences.

Nice To Haves

Direct experience in Data modeling and documentation practice.
Familiarity with version control (Git) and collaborative development practices.
Ability to build fluently with modern AI tooling to multiply output.
Experience with operational, telemetry, IoT, or sensor data.
Background in robotics, IoT, or support operations analytics.

Responsibilities

Define and document key operational and quality metrics hands-on with engineering, keeping them current as pipelines and features evolve.
Build and maintain data lineage and a documented view/metric layer so critical knowledge is documented and shared across the organization.
Validate data quality and proactively audit existing metrics for accuracy and relevance as the platform evolves — catching discrepancies before they drive decisions and flagging definitions that have drifted or pipelines that no longer reflect ground truth.
Partner day-to-day with Data Engineering, drafting well-formed requests for durable, managed data sources where long-term gaps exist.
Work directly with operational and robotic data in BigQuery (SQL) to investigate fleet trends, performance, and quality metrics — owning the analysis, not just reviewing outputs.
Partner with operations, product, and engineering as an analytical thought partner — translating business questions into structured analysis and findings into clear, actionable recommendations for both technical and non-technical audiences.
Proactively surface signals worth monitoring without waiting to be directed.
Turn short-term analyses into repeatable visibility frameworks and standardized KPIs that support scaling and data-driven decisions.
Establish and maintain standards for dashboard and metric design that other team members and stakeholders can follow, ensuring consistency and reusability across the reporting layer.
Design, build, and continuously improve dashboards and monitoring across BI tools (Grafana, Looker, Power BI) or custom tooling.
Leverage modern AI tooling to build and ship dashboards, automation, and lightweight internal tools at high velocity.
Partner with Data Engineering to maintain reliable pipelines and integrations across core systems.
Apply data to evaluate and improve operational workflows, identifying where standardization or automation improves consistency and reliability.
Coordinate multiple data initiatives, maintaining timelines and tracking to ensure on-time, measurable delivery.

Benefits

A discretionary annual target bonus
Stock options
401(k) plan with match (no waiting period and immediate vesting)
Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance
Employee Assistance Program (EAP)
Legal/Identity support plans
Pet insurance.
Access to Flexible Spending Accounts (Medical and Dependent Care)
Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown
Daily on-site lunch available in the San Diego office
On-campus gym including pool and tennis courts in the San Diego office
Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events
Internal continuous learning events
Opportunities to share your own interests and hobbies with the Company