
Data Analyst – Mid-Level
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in Brazil.
• Review existing inventory dashboards, reports, and indicators to identify instances of proliferation and redundancy.
• Evaluate KPI definitions and verify the reconciliation of figures across various reports and time periods.
• Examine discrepancies between extracts for the same timeframe and any changes to rules that lack version control.
• Map the levels of self-service, autonomy, and confidence expressed by users.
• Assess digital data collection methods, which include the tagging plan, event tracking, consistency, and ongoing maintenance.
• Identify retention periods in marketing data sources and their effects on historical data integrity.
• Confirm the integration of digital and e-commerce data within the central ecosystem.
• Facilitate discussions with business users in Sales, Marketing, and other relevant departments.
• Convert reported issues into traceable gaps, substantiated by specific examples.
• Assist in the creation of a heat map across various consumption dimensions.
• Must be available for a temporary engagement lasting one month, working 6 hours per week.
• Proven experience with Power BI in a corporate setting, including the assessment of semantic models and analysis of measure lineage.
• Proficient SQL skills are required to investigate and replicate discrepancies between data extracts.
• Experience in defining and documenting KPIs, along with an understanding of indicator governance.
• Familiarity with GA4 and Google Tag Manager, including a review of tagging plans and event diagnostics.
• Ability to conduct interviews with business users without steering their responses.
• Experience with Looker Studio and Adobe Analytics is preferred.
• Background in e-commerce data and conversion funnel analysis is preferred.
• Experience with Marketing Cloud or a similar marketing automation platform is preferred.
• Previous experience working with healthcare professionals or in relationship programs is preferred.
• Opportunities for growth.
• A culture driven by values.
• International career advancement possibilities.
• An environment that fosters continuous learning.
• A culture that promotes creativity, diversity, and independence.
• An inclusive environment that supports professional growth and development.
• Accommodations provided during the recruitment process, when necessary.
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