Operations Analyst (Entry-Level)

Operations Analyst

KODE Labs is building the operating system for the built world. We're transforming how buildings operate, making them more intelligent, efficient, and sustainable at scale. Since 2017, we've partnered with some of the world's largest real estate portfolios to deliver measurable energy savings and operational excellence. But we're just getting started. The smart buildings industry needs bold thinking and better solutions. We're here to set the standard : moving fast, building fearlessly, and proving what's possible when technology meets infrastructure. At KODE, results speak louder than titles, and every person drives meaningful impact.

About The Role

As an Operations Analyst at KODE Labs, you will be the driving force behind leveraging business intelligence to maximize the productivity of the team. You will contribute to enabling strategic insights into the business that highlight bottlenecks in project delivery / revenue earn and provide tooling to help solve such issues. You will also be responsible for ensuring our revenue forecasting, operational insights, and core business systems are accurate, consistent, and decision-ready.

Your detailed responsibilities will include :

Revenue Ownership

• Build and maintain a forward-looking revenue forecast that combines backlog, pipeline, and delivery progress
• Identify revenue risk early by analyzing stalled work, delayed timelines, and execution drift
• Conduct frequent revenue performance reviews that highlight key drivers, blockers, and required actions.

Operational Systems Ownership

Cross-System Consistency & Integrity

PM tooling)

Operational Insights & Efficiency

Requirements

1. Education in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a similarly analytical field

2. Strong analytical foundation with the ability to work through messy data and produce clear conclusions

3. Understand and / or curiosity of basic business finance concepts, including revenue, margin, forecasting, and how companies track performance

4. Proficiency in Microsoft Excel (modeling, structured analysis, pivots / lookups, building clean reporting tables)

5. Strong written communication skills with the ability to summarize findings clearly for leadership

6. High ownership, reliability, and ability to operate in a fast-paced environment with minimal hand-holding

Preferred Qualifications

Measurements Of Success