Marketing Analytics and BI Engineer, BR Marketing Analytics and BI

Descripción del puesto:

Build and manage data-driven solutions that unlock insights into customer behavior and marketing performance. This role combines technical expertise with marketing acumen to create analytics products that drive strategic decision-making and optimize marketing ROI across all channels.

Key job responsibilities
Analytics Product Development:
> Design and build self-service dashboards tracking customer behavior, campaign performance, and marketing ROI
> Develop automated reporting solutions and predictive models for acquisition, retention, and churn
> Implement marketing attribution frameworks to measure channel effectiveness

Customer Insights & Analysis:
> Analyze customer journey data across all touchpoints to identify optimization opportunities
> Create segmentation models and cohort analyses to understand lifecycle patterns
> Build audience targeting recommendations and lookalike models

Marketing Performance Optimization:
> Monitor and analyze marketing channel efficiency and campaign performance metrics
> Conduct deep-dive analyses and provide actionable recommendations to improve ROI
> Develop forecasting models for marketing spend and expected outcomes
Data Infrastructure:
> Design and maintain data pipelines for marketing and customer data
> Ensure data quality and integrity across analytics systems
> Collaborate with engineering teams to implement tracking and instrumentation

Strategic Initiatives:
> Lead development of a unified marketing analytics platform
> Implement AI/ML solutions for marketing optimization
> Partner with marketing leadership to define measurement strategies and KPIs
> Drive data-driven decision making across the marketing organization

A day in the life
You'll spend your time analyzing marketing performance data, building analytics products, and translating insights into actionable recommendations. You'll collaborate closely with marketing teams to understand their challenges and design solutions-whether that's creating a new customer segmentation model, investigating campaign performance trends, or building automated dashboards. Regular interactions with data engineers ensure proper tracking implementation, while presentations to leadership communicate how data insights drive strategy. You'll tackle questions like "Which channels deliver the best ROI?" or "What drives customer retention?" Your role bridges technical execution with business impact, turning complex data into clear strategies that optimize marketing investments and improve customer engagement

Requerimientos del candidato/a:

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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