Marketing Data Analytics Manager

🕒 Outubro 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $170.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

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PPLSI

5001 - 10000 funcionários

💼 Consultoria

🏥 Saúde

🛡️ Seguros

Consulting • Healthcare • Insurance

Criamos serviços que protegem e capacitam as pessoas. Nossa visão é construir um mundo melhor onde o acesso à justiça e segurança seja igual para todos — independentemente de gênero, raça, orientação, educação, status social ou riqueza pessoal. A PPLSI permite que todos persigam suas vidas – para se preocupar menos e viver mais – sem o medo de que um problema legal ou de privacidade possa derrubar tudo.\n\nNossa Missão\n\nA PPLSI protege e capacita as pessoas com as ferramentas e serviços necessários para viver uma vida justa e segura de maneira acessível.\n\nImpacto Real\n\nA PPLSI está fazendo a diferença na vida de nossos membros. Através de serviços jurídicos acessíveis, recuperamos e economizamos para nossos membros mais de $22 milhões em 2020. Com nossos serviços de proteção de privacidade e roubo de identidade, economizamos um adicional de $5,000,000. Com mais de 1,8 milhões de membros familiares e 100,000 membros de pequenas empresas, as marcas da PPLSI oferecem acesso à tecnologia e a especialistas profissionais para melhorar a vida.\n\nDisruptando a Justiça\n\nInovamos e rompemos o sistema jurídico tradicional – um sistema caro, complicado e demorado para tornar o acesso legal simples, fácil e acessível.\n\nDa mesma forma que a Uber mudou para sempre o setor de transporte, a Amazon criou uma nova maneira de comprar produtos do dia a dia e a Netflix mudou a forma como as pessoas consomem programas de TV e filmes; a PPLSI é a força disruptiva que proporciona a milhões de pessoas acesso aos serviços de proteção legal e de identidade que merecem.

Descrição

• Lead measurement, forecasting, and optimization of marketing investment across all D2C marketing channels • Own analytical infrastructure for spend allocation, channel performance evaluation, and growth projections • Design, build, and continuously improve multi-touch attribution models across the full customer journey • Develop and maintain media mix models to quantify incremental channel impact, evaluate saturation curves, and inform budget allocation • Own marketing performance forecasting across paid search, paid social, organic, CTV, display, affiliate, and emerging channels • Conduct scenario planning and monthly/quarterly re-forecasts • Build and evolve LTV and CAC models by channel, segment, and cohort • Establish payback benchmarks and inform investment decisions through unit economics • Present findings, trade-offs, and recommendations to executive leadership • Partner with channel managers, finance, product, and data engineering on measurement standards, data infrastructure, and go-to-market strategy • Collaborate with channel owners and data engineering on new launches, reporting needs, data feeds, and timely performance reporting • Run cohort and retention analysis to identify channels that bring in durable subscribers • Meet first-90-day onboarding, coaching, QA calibration, team-trust, and process-insight objectives

🎯 Requisitos

• 5+ years of experience in marketing analytics, data science, or a related quantitative field • Strong grasp of digital marketing metrics, attribution models, and experimentation methods • Demonstrated expertise building and interpreting multi-touch attribution models and media mix models in production environments • Proven track record forecasting marketing performance across a diverse channel mix, including paid search, paid social, organic, CTV, and other channels • Deep experience with LTV/CAC modeling, cohort analysis, and unit economics, ideally in a subscription, DTC, or performance-driven business • Advanced SQL required • Proficiency in Python or R for statistical modeling strongly preferred • Experience with data warehouses such as Snowflake, BigQuery, or Redshift • Experience with BI tools such as Looker, Tableau, or equivalent • Familiarity with attribution and measurement platforms such as Google Analytics 4, Adobe Analytics, Mixpanel, Siege, Northbeam, Rockerbox, or similar • Ability to distill complex technical analyses into concise narratives for executive audiences • Strong business acumen and ability to use models to inform decisions • Excellent written and verbal communication skills • Ability to learn new platforms, channels, tools, data structures, and reporting environments • Ability to work in a fast-paced, ambiguous environment with shifting priorities • Ability to maintain regular, predictable attendance and meet standard work schedule requirements • Ability to communicate clearly via phone, video, and in person • Ability to lift or move up to 10–15 pounds • Ability to view computer screens and perform detailed work for extended periods

🏖️ Benefícios

• Medical, dental, and vision coverage • Company-paid short-term disability insurance • Company-paid basic life and AD&D insurance • 401(k) retirement plan with company match • Paid time off • Paid holidays • Paid sick leave • Paid parental leave • LegalShield and IDShield membership plans • Annual or quarterly bonus based on company and individual performance (discretionary and not guaranteed)

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