Senior Analyst, Analytics & Insights

🕒 2 dias atrás

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Bold Orange

51 - 200 funcionários

Fundada em 2018

🤝 B2B

👥 B2C

💰 Private equity em 2018-03

B2B • B2C

A Bold Orange é uma agência de experiência do cliente e estratégia de marca que ajuda organizações B2B e B2C a projetar e entregar experiências de cliente com propósito. Eles oferecem pensamento estratégico, design de UX e experiência do usuário, serviços criativos, conteúdo e insights, além de suporte para eventos e engajamento, auxiliando clientes na aquisição, crescimento e retenção. A Bold Orange destaca o trabalho com marcas de grande porte, publica insights da indústria e enfatiza uma abordagem colaborativa e orientada pela cultura.

Descrição

• Analyze integrated marketing and customer journey datasets to understand the drivers of success/failure in the context of client strategy and develop clear recommendations for a non-technical audience from this data. • Build machine learning models (scikit-learn, XGBoost) & run statistical experiments (control vs. exposed, MAB) to validate, predict, and identify drivers of marketing outcomes. • Explore and learn to leverage new analytics datasets and tools, helping clients understand how they can support insights and optimization. • Design, build, and train clients to understand reporting, dashboards, and performance insights for ongoing client delivery (Data Studio, PowerBI, Tableau, PowerPoint). • Present and discuss analysis with internal stakeholders and clients, including adapting content for different audiences. • Build and maintain data architecture documentation to ensure clarity across teams on what datasets are canonical and where they come from. • Mentor junior analytics team members to support their ongoing development, always promoting creativity as well as structured thinking.

🎯 Requisitos

• At least 5+ years domain experience within digital analytics, marketing analytics or related field. • Working knowledge of SQL and Python (incl. Pandas) for analytics and machine learning • Experience with statistical modeling and experimental design, including randomized control designs, regression modeling, decision tree / random forest classification, or other machine learning approaches. • Bachelor’s degree in data science, business analytics, social sciences, or another related discipline with meaningful exposure to data analysis. • Ability to thrive in a highly collaborative, cross-functional environment where analytics supports and works closely with tech, creative, and execution teams • Innately curious and keen to learn new skills and new tools • Excellent communication skills – verbal and written. This is a client-facing analytics role.

🏖️ Benefícios

• Medical, dental, and vision insurance • Virtual mental health support • Health Savings and Flexible Spending Accounts (including dependent care) • Infertility and critical illness benefits • 401(k) with generous 6–10% employer contribution • Paid parental leave • Tuition reimbursement • Free parking and commuter support

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