Data Analytics Expert
hace 16 horas
Job Description:
">We are seeking a highly skilled Data Analytics Expert to join our team in Mexico. As a Business Intelligence Engineer on the Marketing & Prime team, you will play a crucial role in enabling the growth of our customer base and Amazon Prime membership through the implementation and improvement of powerful business intelligence solutions.
">Responsibilities:
">- ">
- Develop and maintain reporting dashboards, KPIs, and metrics to track the performance of marketing campaigns, customer acquisition and retention, and Amazon Prime growth in Mexico">
- Analyze cross-functional data from various sources (e.g., sales, marketing, customer, Prime) to uncover insights and opportunities for improving customer experiences and driving business results">
- Partner closely with marketing, customer lifecycle, and Amazon Prime teams to understand their data needs and translate business requirements into robust data models and analyses">
- Automate reporting processes and create self-service analytics tools to enable data-driven decision making across the organization">
- Stay up-to-date on industry trends and best practices in marketing analytics and customer growth strategies">
- Collaborate with data engineers to ensure reliable, scalable, and secure data pipelines to support analytical needs">
- Communicate findings, recommendations, and data-driven stories to stakeholders in a clear and compelling manner">
Requirements:
">- 3+ years of experience in data analysis and interpretation with Redshift, Oracle, NoSQL, etc.
">- Experience with data visualization using Tableau, Quicksight, or similar tools
">- Experience with data modeling, warehousing, and building ETL pipelines
">- Experience in statistical analysis packages such as R, SAS, and Matlab
">- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
">- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
">- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
">Estimated Salary: $120,000 - $180,000 per year
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