AI Analyst, UA/RU Language Speaking

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Neurons Lab

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏥 Healthcare

⚡ Energy

💰 Corporate Round on 2022-10

Artificial Intelligence • Healthcare • Energy

Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries.

📋 Description

• Run executive distillation sessions — one-to-one with the Chief of Staff, CIO, CFO and COO — and turn each into a context pack: goals, OKRs, KPIs, investment policy, reporting standards, operating processes written down as usable text, not slides. • Elicit and validate the business semantics of the ontology with stakeholders: what a "commitment", "decision", "priority", "portfolio update" actually mean in this group, and where definitions conflict between entities. • Specify the agent skills per executive — scope, inputs, outputs, tone, acceptance criteria, escalation and human-in-the-loop boundaries — and write the evals that decide whether a skill is good enough to ship. • Design the weekly alignment ritual in Slack: OKR-coached check-ins, drift detection, and the board master-report that assembles itself from the check-ins. • Interpret process-mining output into a decision-ready report per team: where effort actually goes, what to automate, what to reorganise, what to leave alone — each with an ROI estimate and a recommended sequence. • Build quick prototypes (no-code / low-code / prompt-level) to test a skill with an executive before engineering builds it properly. • Own adoption: sit with the executives, watch them use it, find why they don't, and feed that back into the backlog every sprint. • Measure payback after each automation ships and re-prioritise the next wave against it. • Keep the written trail — decision records, requirement docs, runbooks — so the client's own team can eventually build the rest without us.

🎯 Requirements

• 4+ years in business analysis, management consulting, process improvement or AI/product analysis • Demonstrated experience eliciting requirements from senior stakeholders and shipping against them • Hands-on LLM / generative-AI implementation experience — prototypes you can show, not courses you attended • Experience mapping and redesigning real business processes, ideally with mining or usage data rather than interviews alone • Background in or with financial services / investment firms — strong plus • Comfortable as the sole analyst on a small (2.5-FTE) delivery pod.

🏖️ Benefits

• Full-time role. • The most client-facing seat on the pod after the founders.