Operations Analyst (Entry-Level)

KODE Labs•Detroit, MI

144d

About The Position

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. This role will allow you to partner and work closely with leadership to make KODE Labs run like a well oiled machine.

Requirements

Education in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a similarly analytical field
Strong analytical foundation with the ability to work through messy data and produce clear conclusions
Understand and/or curiosity of basic business finance concepts, including revenue, margin, forecasting, and how companies track performance
Proficiency in Microsoft Excel (modeling, structured analysis, pivots/lookups, building clean reporting tables)
Strong written communication skills with the ability to summarize findings clearly for leadership
High ownership, reliability, and ability to operate in a fast-paced environment with minimal hand-holding

Nice To Haves

Strong interest in learning how revenue forecasting works in a real operating business and a desire to build that skill quickly
Curiosity and motivation to deeply understand how KODE’s delivery engine operates and what data accurately captures delivery truth
Interest in working cross-functionally with Sales, Delivery, and Finance to connect the dots across the business
Ability to generate clear narratives of operational data into presentations that drive decisions
Comfort operating in ambiguity and willing to dig through incomplete or inconsistent data to establish clarity and structure

Responsibilities

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
Own the structure and reliability of operational tooling used to track delivery and revenue
Ensure systems are configured to support forecasting accuracy and operational visibility
Improve workflows and data structures to reduce manual effort and increase clarity in day-to-day work of the delivery team
Establish standards for tool usage and enforce data hygiene across teams
Cross-System Consistency & Integrity
Build, develop and maintain integrations between sales, delivery and accounting tools (ex. CRM -> PM tooling)
Identify and reconcile mismatches across systems before they impact reporting
Build reconciliation routines that surface discrepancies proactively
Operational Insights & Efficiency
Analyze operational data to identify inefficiencies, bottlenecks, and recurring execution gaps
Structure leadership updates that clearly connect operational activity to revenue impact
Continuously improve reporting visibility so teams can act on real-time performance signals