Data Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Gather and interpret business, marketing, and consumer experience requirements to develop data solutions and products.

• Organize, document, and consolidate consumer data from various sources such as e-commerce, CRM, websites, apps, campaigns, loyalty programs, customer service, marketing automation, and CDPs.

• Conduct data mapping between source systems and the Azure platform, establishing integration, transformation, and enrichment protocols.

• Create and sustain data models and documentation including Customer Profile, Customer Journey, segmentations, Data Dictionary, Business Rules, Data Lineage, and Customer Data Models.

• Assist in the development of a comprehensive 360° consumer view by defining KPIs and collaborating with Data Engineering on pipeline advancement and data modeling.

• Ensure the quality, governance, and compliance of data (LGPD), supporting initiatives in CRM, Marketing Analytics, personalization, and audience activation.

• Serve as a bridge between Marketing, CRM, Consumer Insights, and technical teams.

⛳️ Requirements

• Proven experience as a Data Analyst in Analytics, CRM, Consumer Data, or MarTech projects, emphasizing consumer data.

• In-depth understanding of marketing processes, CRM, customer journey mapping, data quality, data lineage, data modeling, and data integration.

• Proficient in analyzing data from various sources with advanced SQL capabilities.

• Competence in translating business requirements into functional and analytical specifications.

• Experience collaborating within multidisciplinary teams comprising Marketing, Analytics, and Data Engineering.

• Familiarity with Consumer Data Platforms (CDPs) such as Adobe Experience Platform, Salesforce Data Cloud, Tealium, Segment, or similar platforms.

• Knowledge of Customer 360, Identity Resolution, digital marketing metrics, CRM, digital analytics, segmentation, personalization campaigns, as well as LGPD and data governance principles.

• Experience with the Microsoft Azure ecosystem, including Azure Data Factory, Databricks, Data Lake Storage, Synapse Analytics, Microsoft Fabric, and Azure DevOps.

• Familiarity with Power BI, Python, Microsoft Purview, Lakehouse Architecture, Medallion Architecture, Customer Analytics, and Feature Engineering for Consumer Data.

🏝️ Benefits

• Not specified.