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.


















