Senior Data Analyst

Posted 5ds ago

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Job Description

Senior Data Analyst at Webjump responsible for e-commerce data collection and analysis. Leading BI solutions and mentoring junior profiles in a collaborative environment.

Responsibilities:

  • Lead the creation of the BRD (Business Requirements Document), translating complex business questions into technical analytical requirements.
  • Develop the Tagging Plan (Tag Book) for websites (GTM) and mobile apps (Firebase), ensuring accurate event capture in multi-tenant architectures.
  • Code Data Layer specifications in JSON/JavaScript, guiding development teams in implementing transactional journeys (Access > Checkout).
  • Build advanced Power BI dashboards to monitor the end-to-end sales funnel, enabling performance analysis by brand and region.
  • Validate data collection integrity through rigorous debugging, ensuring zero data loss and compliance with privacy regulations (LGPD).
  • Act as a technical advisor to stakeholders, presenting funnel diagnostics, conversion bottlenecks, and revenue opportunities in Portuguese and English.

Requirements:

  • Advanced/Fluent English: Essential for interaction with global teams and technical documentation.
  • Strong expertise in Tag Manager tools: Deep experience with Google Tag Manager (GTM) and Adobe Launch.
  • Mobile Analytics expertise: Implementation and instrumentation of SDKs via Firebase for tagging transactional apps.
  • Analysis and Visualization: Advanced experience with Power BI (dataflows and executive dashboards) and familiarity with Tableau or Looker Studio.
  • Languages and Data: Solid knowledge of JavaScript (for Data Layer and tags), SQL (for BigQuery/Data Lakes), and basic Python.
  • Consultative profile: Ability to mentor junior profiles and a willingness to continuously learn within the generative AI and agentic AI ecosystem.
  • Adobe certifications: Knowledge of Adobe Analytics, RT-CDP, or Customer Journey Analytics (CJA).
  • Analytical maturity: Experience with attribution modeling, churn prediction, or Lifetime Value (LTV) calculations.
  • E‑commerce background: Experience in large-scale retail operations or consumer packaged goods.

Benefits:

  • Meal allowance (Alelo card)
  • Food allowance (Alelo card)
  • Home office allowance
  • Health insurance (paid by Webjump)
  • Dental plan
  • Birthday day off (one day during birthday month)
  • Childcare assistance for parents
  • Extended maternity and paternity leave
  • Life insurance
  • Exclusive discounts on English courses
  • Exclusive discounts with universities
  • Totalpass (gym/fitness benefits)
  • Zenklub (mental health and well-being platform)
  • Partnership with Sesc
  • Profit-sharing (PLR)
  • Subsidy for certifications.