Senior Lead, Marketing Analytics, Data Science

🕒 Setembro 4

🏖️ New Jersey, Texas – Remoto

🏖️ New Jersey – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

🦅 Patrocina Visto H1B

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Kyndryl

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2021

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A Kyndryl é uma provedora líder de serviços de infraestrutura de TI, atendendo milhares de clientes corporativos em todo o mundo. A empresa é especializada em projetar, construir, gerenciar e modernizar sistemas de informação complexos e de missão crítica. A Kyndryl oferece um portfólio de serviços que inclui consultoria em TI, serviços de cloud, cibersegurança, soluções de dados e IA, e transformação do ambiente de trabalho digital. Com forte foco em inovação, parcerias e cocriação, a Kyndryl ajuda as empresas a enfrentar a complexidade de TI e a impulsionar a excelência operacional. A companhia atua em diversos setores, como automotivo, saúde, bancário e outros, oferecendo expertise e soluções para desafios específicos de cada indústria. A rede global e as alianças estratégicas da Kyndryl capacitam as empresas a se adaptar ao cenário tecnológico em evolução, garantindo que seus sistemas essenciais sejam confiáveis e eficientes.

Descrição

• Lead the evolution of marketing measurement frameworks and attribution methodologies quantifying marketing's contribution to pipeline, revenue, and business growth • Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models to guide investment decisions and budget optimization • Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations • Design and develop predictive models including response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis • Apply statistical techniques, machine learning methodologies, and AI-enabled approaches to marketing and sales datasets • Translate analytical findings into recommendations improving conversion rates, pipeline generation, audience engagement, and marketing ROI • Develop audience segmentation frameworks supporting account-based marketing, customer expansion, digital engagement, and campaign personalization • Analyze customer, account, behavioral, technographic, and engagement data to identify growth opportunities • Serve as a subject matter expert on advanced analytics, marketing measurement, and data science within marketing • Evaluate emerging analytical techniques, AI capabilities, and measurement approaches • Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders • Collaborate with marketing leaders, campaign teams, digital teams, operations, sales, and data engineering

🎯 Requisitos

• Bachelor's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field • 5+ years of experience in marketing analytics, data science, revenue operations, business analytics, or related analytical disciplines • Advanced SQL skills with experience working across large and complex datasets • Strong proficiency with Python, R, or comparable analytical and visualization platforms • Experience developing predictive models, scoring methodologies, segmentation frameworks, or statistical analyses used in business decision making • Strong understanding of attribution methodologies, funnel measurement, and marketing performance evaluation • Experience working with CRM, marketing automation, data warehouse, and digital measurement platforms • Ability to independently scope, lead, and deliver complex analytical projects from problem definition through implementation • Strong communication and data storytelling skills with the ability to influence senior stakeholders • Experience leveraging AI and machine learning techniques to automate analyses, accelerate insight generation, or improve business outcomes • Master's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field preferred • Strong proficiency with Power BI preferred

🏖️ Benefícios

• Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more • Company-wide volunteering and giving platform • Ability to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations • Employee benefits designed to provide choice and support employees and their families • Medical or religious accommodation for eligible employees regarding vaccination requirements