Data Analyst

Posted 3ds ago

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Data Analyst for projects in MarTech and Consumer Data, structuring consumer data to support key initiatives in Marketing and Analytics.

Elicit business, Marketing and consumer experience requirements and translate them into data solutions and products.
Map, document and integrate consumer data from multiple sources (e-commerce, CRM, websites, apps, campaigns, loyalty programs, Customer Service, marketing automation and CDPs).
Perform data mapping between source systems and the Azure platform, defining integration, transformation and enrichment rules.
Build and maintain data models and documentation (Customer Profile, Customer Journey, segmentations, Data Dictionary, Business Rules, Data Lineage and Customer Data Models).
Support the creation of a 360° consumer view by defining KPIs and working with Data Engineering on pipeline development and data modeling.
Ensure data quality, governance and compliance (LGPD), supporting CRM, Marketing Analytics, personalization and audience activation initiatives.
Act as a liaison between Marketing, CRM, Consumer Insights and technical teams.

Experience as a Data Analyst in Analytics, CRM, Consumer Data or MarTech projects, with a focus on consumer data.
Strong knowledge of Marketing processes, CRM, customer journey, Data Mapping, Data Quality, Data Lineage, Data Modeling and Data Integration.
Experience analyzing data from multiple sources and advanced SQL skills.
Ability to translate business needs into functional and analytical requirements.
Experience working in multidisciplinary teams with Marketing, Analytics and Data Engineering.
Experience with Consumer Data Platforms (CDPs) such as Adobe Experience Platform, Salesforce Data Cloud, Tealium, Segment or similar.
Knowledge of Customer 360, Identity Resolution, digital marketing metrics, CRM, Digital Analytics, segmentation and personalization campaigns, as well as LGPD and Data Governance.
Experience with the Microsoft Azure ecosystem (Azure Data Factory, Databricks, Data Lake Storage, Synapse Analytics, Microsoft Fabric and Azure DevOps).
Knowledge of Power BI, Python, Microsoft Purview, Lakehouse Architecture, Medallion Architecture, Customer Analytics and Feature Engineering for Consumer Data.