Gauge
Gauge
Gauge — цифрлық маркетингке, деректер аналитикасына, жасанды интеллектке және клиент тәжірибесіне бағытталған технологиялық шешімдер мен консалтинг компаниясы. Оның жұмысы деректерге негізделген маркетинг стратегиясын бұлттық инфрақұрылыммен және гибридті технологиялық шешімдермен ұштастырып, бизнеске клиенттерімен тиімдірек байланыс орнатуға көмектеседі. Компания консалтинг, маркетинг және цифрлық маркетинг бағыттарында жұмыс істейді.

Martech Engineering and Analytics Consultant - São Paulo (Hybrid)

Consultant connecting data, technology, and marketing at Gauge, a digital marketing company. Build pipelines, integrations, and analytics solutions for clients.

Сипаттама

  • Translate client and consulting-team needs into technical requirements and practical solutions.
  • Build and maintain data pipelines and integrations spanning marketing platforms, CRM systems, digital channels, and analytics environments.
  • Extract, transform, model, and validate data for analyses, metrics, and dashboards.
  • Help define data models, KPIs, and business rules across projects.
  • Track data quality, consistency, and availability, investigate failures, and implement improvements.
  • Produce technical and functional documentation covering data sources, transformations, rules, and dependencies.
  • Work with marketing, analytics, engineering, and business stakeholders throughout project delivery.
  • Assist with estimation, testing, deployment, and continuous monitoring of delivered solutions.
  • Promote best practices and help develop reusable components, standards, and processes across projects.
  • Take part in daily meetings, alignment sessions, and presentations in Spanish with clients and teams from Spanish-speaking countries.

Талаптар

  • Ability to connect data, business needs, and technology into effective solutions.
  • Knowledge of or practical experience using artificial intelligence tools for data and analytics, including task automation, information analysis, and decision support.
  • Experience in analytics engineering, data engineering, business intelligence, or a related role.
  • Strong SQL skills and hands-on experience with ETL or ELT, data pipelines, and data modeling.
  • Familiarity with data visualization tools, cloud environments, and version control.
  • Ability to assess requirements, solve problems, and explain technical subjects to varied audiences.
  • Advanced or fluent Spanish, with confidence in everyday spoken and written communication.
  • Organized, self-directed, collaborative, and adaptable across different projects and contexts.
  • Experience with dbt, Python, APIs, Git, and workflow orchestration tools.
  • Knowledge of Snowflake, BigQuery, Databricks, or comparable platforms.
  • Experience with CRM systems, marketing automation, CDPs, digital analytics, or customer journey data.
  • Knowledge of data governance, privacy, and quality practices.
  • Prior experience in consulting or multicultural teams and projects.

Артықшылықтар

  • Meal or food voucher
  • Health insurance
  • Dental insurance
  • Day off
  • Gympass or TotalPass
  • Childcare assistance
  • Pet assistance
  • Fuel allowance
  • Home office allowance
  • Education reimbursement
  • Free online health platform
  • E-learning through Stefanini Academy, offering a broad range of courses
  • Mentoring through the Mentorship Platform
  • Discounts at institutions offering undergraduate, graduate, language, and other courses
  • Benefits and discounts at leading establishments

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