Description
We are looking for a Data Analytics Specialist to work on data structuring, governance, and analysis, ensuring that the information used by the company is reliable and delivers business value.
This professional will be responsible for connecting data from different sources, defining measurement strategies, validating data collection quality, developing dashboards and strategic analyses, and supporting Product, Marketing, Technology, CRO, and Business teams in making data-driven decisions.
**Key Responsibilities:**
Translate business needs into metrics, KPIs, and measurement plans.
Define, implement, and validate data collection strategies, including events, tags, and Data Layer.
Ensure the quality, consistency, and governance of data used in analyses.
Investigate tracking inconsistencies and propose improvements to the measurement architecture.
Consolidate, process, and analyze data from multiple sources.
Develop dashboards, reports, and KPIs to monitor business performance.
Identify opportunities, trends, and risks through exploratory and strategic analyses.
Support Product, Marketing, Technology, CRO, and Business teams with data-based recommendations.
Document processes, metrics, and business rules related to measurement and data analysis.
Promote analytics best practices and contribute to advancing a data-driven culture across the organization.
**Requirements and Skills:**
Experience in Web Analytics and Data Analytics.
Knowledge of Google Analytics 4 (GA4) and Google Tag Manager (GTM).
Proficiency in SQL for querying and manipulating data.
Experience with data visualization tools such as Power BI or Looker Studio.
Familiarity with BigQuery or other analytical databases.
Analytical capability to transform data into insights and business recommendations.
**Nice-to-have:**
Knowledge of JavaScript for tracking implementation validation.
Experience with Python for automation or data analysis.
Experience in e-commerce or digital products.
Knowledge of CRO, UX Research, or experimentation (A/B Testing).
Experience with data modeling, ETL/ELT, or data engineering.
WHAT WE OFFER?
Competitive compensation aligned with the role;
Work equipment
**AVANTI Grow:** Internal Development and Performance Program based on the Y-shaped career path
Feedback-oriented culture and periodic 1-on-1 meetings
Sul América Health Insurance with nationwide coverage
Sul América Dental Insurance with nationwide coverage
Home office allowance;
iFood Card – Fixed value – (Meal and food benefits combined in a single card);
SESC partnership (discounts on hospitality, gyms, restaurants, and leisure)
**Starbem partnership:** Telemedicine platform offering free therapy sessions
Total Pass partnership
Birthday “day off”;
**Working hours:**
Monday to Friday, from 9:00 AM to 6:00 PM.
**Contract type:**
CLT.