BIE I - FBA Analytics, FBA Analytics

Amazon Inc.

Bellevue, Northern (WA, KY)

Hybrid

USD 82,000 - 144,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC is seeking a data analytics professional in Bellevue, WA to develop metrics, dashboards, and AI-driven workflows that empower executive decision-making. You will partner with product and business teams to define KPIs, build self-service reports, and collaborate with data engineers on data pipelines.

Ideal candidates have 2+ years in data analysis with Redshift/NoSQL, strong visualization skills (Tableau/QuickSight/PowerBI), and experience applying statistical methods to

Qualifications

  • 2+ years analyzing data with Redshift, Oracle, NoSQL, etc.
  • Experience with data visualization using Tableau, QuickSight, or similar tools
  • Experience with analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (t-test, Chi-squared)

Responsibilities

  • Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
  • Develop clear communications for recommended actions.
  • Establish self-service automated reporting processes for tracking and diving deep into the data.
  • Partner with data engineers to establish new data pipelines and document logic for business metrics.
  • Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.

Skills

Data analysis
Statistical methods
Redshift
Tableau
PowerBI
Python
R

Education

Master's degree

Tools

Tableau
QuickSight
PowerBI

Job description

Job ID: 10573882 | Amazon.com Services LLC

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Multiple Sellers in various countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions.

Key job responsibilities
  • Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
  • Develop clear communications for recommended actions.
  • Establish self-service automated reporting processes for tracking and diving deep into the data.
  • Partner with data engineers to establish new data pipelines and document logic for business metrics.
  • Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.
About the team
  • Work on high-impact, high-visibility projects that drive the experience for millions of customers.
  • The opportunity to use and learn state-of-the-arts data management solutions.
  • Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
  • Competitive compensation, including relocation support.
Basic Qualifications
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Preferred Qualifications
  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis
  • Experience with scripting language (e.g., Python, Java, or R)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Bellevue - 82,300.00 - 144,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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