Q-Express Documents Transport
Fulfillment Operations Management, Administrative Support, fulfillment ops
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at Q-Express Documents Transport. Skills: Data analysis, SQL, Python, AWS. Develop data collection processes. Develop data management systems”
What You'll Achieve.
Provide vital insights; Support business decision making; Support dive deep activities
Industry & Context.
Problem-solving; Analytical thinking; Root cause analysis
What They're Looking For.
Must Have
Problem-solving and analytical thinking, Clear communication with stakeholders, Project planning and execution, Ability to translate business needs into technical solutions, Hands-on experience with AWS core services, Python data stack, Advanced SQL, ETL pipeline design and implementation, Data lake/warehouse architecture
Nice to Have
Experience with machine learning projects, Model development and deployment
What You'll Do.
Develop data collection processes
Develop data management systems
Generate reports in SQL
Chart data for reporting
Graph data for reporting
Develop dashboard for business decision making
Develop dashboard for dive deep activities
Develop automation solution for analysis
Prepare reports for business reviews
Publish reports for business reviews
Support leadership team to interpret data trends
Research defect trends
Present analysis in standard reports
Support ICQA & Learning Team Projects
How You'll Work.
Team & Collaboration
ICQA departments; Learning departments; Finance departments; Leadership team
Communication Scope
Clear communication; Present analysis
Process & Methodology
Project planning, Project execution
Full Job Description
Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business. Key job responsibilities • Development of data collection processes and data management systems • Designing of queries, compiling of data, and generation of reports in SQL • Charting and graphing of data for reporting purposes • Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities • Develop automation solution for analysis (python) • Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates) • Supporting leadership team how to interpret data trends as needed • In depth research of defect trends • Present analysis in easily digestible standard reports • Support to ICQA & Learning Team Projects Basic Qualifications: • Problem-solving and analytical thinking • Clear communication with stakeholders • Project planning and execution • Ability to translate business needs into technical solutions • Hands-on experience with AWS core services (S3, Lambda, Glue, Redshift, EMR), Python data stack (pandas, numpy, scikit-learn), advanced SQL, ETL pipeline design and implementation, and data lake/warehouse architecture Preferred Qualifications: • Experience with machine learning projects including model development and deployment Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more
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