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Arbor · 1 day ago

Operations Analyst, Supply Platform

United States

Full-time

Remote

Entry, Mid Level

Arbor is an innovative company focused on creating an intelligent electricity marketplace to help renters, homeowners, and small businesses save on electricity costs. The Operations Analyst will manage supplier operations and ensure the reliability and efficiency of Arbor's supply platform, working closely with various teams to optimize processes and implement automation.

Energy EfficiencyEnergy ManagementEnergy StorageRenewable Energy

Responsibilities

Own end-to-end supply and brokerage operations

Manage the operational funnel from utility account creation through broker-ready and brokered status

Validate utility account setup, historical usage acquisition, and supplier readiness

Track, explain, and systematically reduce drop-offs from account creation → eligibility → brokerage

Identify root causes of non-brokerage and partner cross-functionally to eliminate them

Produce clear, executive-ready insights on gross-to-net brokerage performance to guide automation and prioritization

Run supplier-side operations and exceptions

Monitor enrollment success rates and investigate failures

Track and resolve cancellations, including process-attributable cancels

Serve as the first line of defense for supplier data integrity issues

Partner with suppliers, Customer Ops, and Engineering to resolve systemic issues and harden workflows

Own contract synchronization health

Act as the dedicated owner of Arbor’s contract sync queue—one of our most critical operational risk areas

Monitor sync health, backlog, and SLA adherence

Investigate failures across systems and identify patterns, regressions, and upstream data issues

Drive progress toward ≥99% of active contracts synced accurately and on time

Build the ops → product → automation feedback loop

Identify recurring failure modes, manual work, and operational pain points

Quantify impact (volume, frequency, dollars, customer impact) rather than relying on anecdotes

Partner with Product and Engineering to define requirements, validate fixes, and measure post-launch impact

Design and apply AI-assisted workflows and lightweight automations to reduce cycle time and human effort

Help move work from humans → systems → automation, quarter by quarter

Qualification

Analytical skillsAI tools managementRoot cause analysisEnergy markets experienceOperational data handlingClear communicationAttention to detailProblem-solving mindset

Required

Strong analytical instincts and comfort working with messy, real-world operational data

An operator's mindset: biased toward root cause analysis and systemic, durable fixes

High attention to detail without losing sight of business impact and customer outcomes

Comfort owning queues, ambiguity, and unresolved problems end to end

Clear communication skills, you can synthesize noise into signal for Product, Engineering, and Ops partners

AI-native operator: experience using and managing AI tools to scale operational workflows; automating analysis, reducing manual queue work, and increasing throughput and determinism without linear headcount growth

Curiosity about how systems break and motivation to make them reliable, not dependent on heroic one-off saves