8+ AWS Data Analyst Resume Examples + Templates for 2024

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AWS Data Analyst Resume 1

AWS DATA ANALYST
Senior Data Analyst | AWS Expert

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Summary

Experienced AWS Data Analyst with 6 years of expertise in leveraging AWS services for data analysis. Skilled in data extraction, transformation, and visualization. Proven track record of delivering actionable insights and driving data-driven decision-making. Strong knowledge of cloud-based data solutions and a commitment to staying updated with the latest AWS technologies and best practices.

Experience

AWS Data Analyst
Etsy
2020 – Ongoing
CA

  • Leveraged AWS services to extract, transform, and analyze large-scale data sets, resulting in a 30% improvement in data processing efficiency and a 20% reduction in data storage costs.
  • Developed and implemented data models and algorithms to optimize search and recommendation systems, contributing to a 25% increase in user engagement and a 15% uplift in conversion rates.
  • Conducted comprehensive analysis of customer behavior data to identify purchasing patterns and trends, resulting in a 20% increase in average order value and a 10% improvement in customer retention.
  • Collaborated with cross-functional teams, including product managers and engineers, to define and track key performance indicators, driving data-driven decision-making for product enhancements and feature prioritization.
  • Created interactive dashboards and reports using AWS QuickSight and Tableau, enabling stakeholders to monitor and analyze key metrics in real-time.
  • Utilized AWS Glue and Redshift for data extraction, transformation, and analysis, reducing data processing time by 40% and improving data accuracy by 25%.

Data Analyst
YouTube
2017 – 2020
CA

  • Analyzed user engagement data to identify content preferences and trends, resulting in a 30% increase in average watch time and a 20% improvement in user retention.
  • Developed and implemented sophisticated machine learning models to improve video recommendations, leading to a 25% increase in click-through rates and a 15% uplift in ad revenue.
  • Conducted in-depth analysis of advertising data, optimizing targeting strategies and ad placements, resulting in a 15% increase in ad conversion rates and a 10% improvement in advertiser satisfaction.
  • Created interactive dashboards and reports using data visualization tools, such as Tableau and Python, enabling stakeholders to monitor and analyze key metrics in real-time.
  • Utilized SQL and Python for data extraction, transformation, and analysis, reducing data processing time by 40% and improving data accuracy by 25%.
  • Conducted rigorous A/B tests on new features and user interface designs, resulting in a 20% uplift in user engagement and improvement in user satisfaction scores.

Strengths

Data Transformation
Transformed intricate business requirements into effective data schemas impacting productivity by 20%.

Solution Teaming
Established a cooperative team to develop end-to-end data solutions, resulting in increased efficiency by 15%.

Skills

  • AWS cloud technologies
  • Informatica
  • Database Design
  • Data Integration
  • Reporting
  • Analytics
  • Agile Delivery Methodology
  • Dimensional Modeling
  • Data Warehouse Methodologies
  • Data Auditing
  • Python
  • Spark
  • OnPrem to AWS Cloud Migration
  • ETL code design
  • PL/SQL

Education

Master of Science in Data Analytics
University of Southern California
2015 – 2017

Bachelor of Science in Computer Science
University of Michigan
2011 – 2015


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