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MuchMore.Digital

Web Analytics Analyst

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Hybrid

São Paulo, SP, Brazil

Salary Range

R$6,000.00 - R$9,000.00 / month

Contractor

Experience Level

Mid level

Requirements

4+ years of experience in the career
BigQuery
Excel
Google Analytics
Google Tag Manager (GTM)

Desired Skills

Data Analysis
Power BI
SQL

Tasks and Responsibilities

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Opportunity: Senior Web Analytics / BI Analyst


Are you passionate about transforming raw data into business strategies? Do you have a sharp analytical mindset and the ability to thrive in dynamic, multidisciplinary environments? Then this role is for you!


We are looking for a professional to join our performance team, leading our data culture, generating actionable insights, and optimizing the consumer journey across our digital channels.


Key Responsibilities

  • Google Analytics Expertise: Produce reports, dashboards, and strategic analyses focused on user behavior, traffic sources, and the performance of websites and online media.
  • Multi-Channel Measurement: Measure results from campaigns across multiple sources (CRM, Paid Media such as Google Ads, Meta Ads, among others).
  • Conversion Rate Optimization (CRO): Deeply analyze the consumer journey to recommend structural and content improvements for websites and landing pages.
  • Agile Routine: Actively participate in multidisciplinary digital performance teams, consolidating daily results (daily meetings) and generating rapid insights.

Technical Requirements

  • DataViz & BI: Solid knowledge of Business Intelligence and Data Visualization tools (Looker Studio / DataStudio, Power BI).
  • Tagging: Practical experience with implementing and managing tags via Google Tag Manager (GTM).
  • Data Manipulation: Experience in extracting and manipulating large volumes of data using BigQuery.
  • Excel: Advanced knowledge for rapid analysis and cross-referencing datasets.

General Requirements

  • Languages: Advanced or fluent English or Spanish (will be tested during the process).
  • Proactive profile with excellent communication skills to translate technical data into business recommendations (data storytelling).

We look forward to meeting you!


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