Experienced Full Stack Data Analyst – Business Intelligence and Analytics Specialist for High-Growth E-commerce Company in Louisiana

About the Role

We are seeking an experienced and highly skilled Full Stack Data Analyst to join our team in Louisiana. As a key member of our Business Intelligence and Analytics team, you will play a critical role in driving business growth and decision-making through data-driven insights. If you have a passion for data analysis, business intelligence, and e-commerce, we want to hear from you!

About the Company

Amazon is a multinational e-commerce company based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, Amazon has grown to become one of the world's largest online retailers and a leader in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. Our company culture is built on innovation, customer obsession, and a commitment to excellence.

Job Summary

As a Full Stack Data Analyst, you will be responsible for designing, developing, and maintaining business intelligence and analytics solutions to support our growing e-commerce business. You will work closely with cross-functional teams, including product management, marketing, and operations, to provide data-driven insights and recommendations that drive business growth and improvement. Your expertise in data analysis, business intelligence, and e-commerce will enable you to make a significant impact on our company's success.

Key Responsibilities

* Design, develop, and maintain business intelligence and analytics solutions to support our e-commerce business, including data warehousing, ETL, and reporting * Collaborate with cross-functional teams to identify business needs and develop data-driven solutions to address them * Develop and maintain dashboards, reports, and data visualizations to provide insights and recommendations to stakeholders * Analyze large datasets to identify trends, patterns, and correlations that inform business decisions * Develop and maintain data models, including data architecture, data governance, and data quality * Work with data engineers to design and implement data pipelines and data integration solutions * Develop and maintain SQL queries, data transformations, and data aggregations to support business intelligence and analytics * Collaborate with data scientists to develop and implement machine learning models and predictive analytics * Develop and maintain documentation, including data dictionaries, data flow diagrams, and technical documentation

Essential Qualifications

* Bachelor's degree in Computer Science, Mathematics, Statistics, or related field * 3+ years of experience in data analysis, business intelligence, and e-commerce * Strong expertise in SQL, data modeling, and data warehousing * Experience with data visualization tools, including Tableau, Power BI, or D3.js * Strong analytical and problem-solving skills, with the ability to interpret complex data and develop insights * Excellent communication and collaboration skills, with the ability to work with cross-functional teams * Experience with cloud-based data platforms, including Amazon Redshift, Amazon S3, or Google Cloud Platform * Strong understanding of data governance, data quality, and data security

Preferred Qualifications

* Master's degree in Computer Science, Mathematics, Statistics, or related field * Experience with machine learning and predictive analytics, including scikit-learn, TensorFlow, or PyTorch * Experience with data engineering and data integration, including Apache Beam, Apache Spark, or AWS Glue * Experience with cloud-based data platforms, including Amazon Athena, Amazon QuickSight, or Google Cloud Data Fusion * Strong understanding of e-commerce business models, including product management, marketing, and operations * Experience with agile development methodologies, including Scrum or Kanban

What We Offer

* Competitive salary and benefits package, including health insurance, retirement savings, and paid time off * Opportunities for career growth and professional development, including training and education assistance * Collaborative and dynamic work environment, with a focus on innovation and customer obsession * Flexible work arrangements, including remote work options and flexible hours * Access to cutting-edge technology and tools, including cloud-based data platforms and machine learning frameworks * Opportunities to work on high-impact projects and contribute to the growth and success of our company

How to Apply

If you are a motivated and talented data analyst with a passion for e-commerce and business intelligence, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job