Last-Mile Logistics Data & Insights Analyst

Amazon

Austin (TX)

On-site

USD 74,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Logistics (AMZL) in Austin, TX is seeking an experienced analytics professional to identify, develop and integrate solutions that improve last mile efficiency. You will lead data-driven initiatives from concept through execution, partnering with operations and finance to drive measurable improvements.

The role requires strong data mining, modeling and hands-on experience with Excel, SQL and data visualization tools like Tableau.

Qualifications

  • 3+ years of tax, finance or a related analytical field experience.
  • 3+ years of business or financial analysis experience.
  • Experience defining requirements and using data and metrics to draw business insights.
  • Experience with Excel.

Responsibilities

  • Own the development and maintenance of new and existing solution artifacts focused on driving efficiency via analysis, metrics and reporting dashboards.
  • Partner with operations/business teams to consult, develop and implement KPIs, automated reporting and process improvements.
  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible format.
  • Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.
  • Participate in strategic and tactical planning discussions.
  • Design, develop and maintain scaled, automated systems and dashboards to support business needs.

Skills

Data mining
Data modeling
Excel
SQL
Business analytics

Education

Bachelor's degree or equivalent

Tools

Tableau

Job description

Amazon Logistics (AMZL) in Austin, TX is seeking an experienced analytics professional to identify, develop and integrate solutions that improve last mile efficiency. You will lead data-driven initiatives from concept through execution, partnering with operations and finance to drive measurable improvements.

The role requires strong data mining, modeling and hands-on experience with Excel, SQL and data visualization tools like Tableau.

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