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Jobs(31,365)/Investment Analyst Role(31)/electric-twin (1) - Insight Analyst
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electric-twin

electric-twin - Insight Analyst

London+ Equity2d ago
In OfficeJuniorEMEAArtificial IntelligenceSoftwareInvestment AnalystPythonMarket ResearchCustomer OnboardingData AnalysisStorytellingDocumentation

Requirements

• Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field) • 1-3 years in data analysis, market research, consulting, or customer-facing technical roles • Excellence at translating complex technical concepts for non-technical executives • Proven ability to manage sophisticated customer relationships independently • Thrives in ambiguous, fast-moving startup environments • Proficient in Python • Quick learner who can master new AI/ML platforms and concepts • Be able to identify root cause of technical issues in data and evaluation pipelines • Experience with LLMs, AI systems, or enterprise SaaS implementations • Management consulting background, especially in technology transformation • Track record presenting to C-suite executives • Knowledge of behavioral science or consumer insights • Personal Attributes • High levels of self-discipline and organisation • Intellectually curious with exceptional attention to detail • Builds trust quickly with senior stakeholders

Responsibilities

• Transform Datasets to Onboard onto our Product: Design synthetic population queries by onboarding custom datasets for customers • Build confidence through rigour: Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions • Lead technical engagements: Own the technical dialogue with customers - understand their data, design optimal solutions, and implement them collaboratively • Scale adoption: Enable customers to unlock full product value across the whole organisation through effective training, documentation, and use case storytelling. • Shape our product: Represent the voice of the customer - gather field feedback and inform product priorities based on real implementation patterns. • Bring the platform to life: Work with the product team to understand the best use cases for customers in order to show them how to best address their pain points and use cases. • Top and Tail Customer Requirements from our platform: From running the data collection and onboarding to build out the desired synthetic audience, to making recommendations and delivering outputs against customer briefs. • Strong ownership mentality with composure under pressure

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