- Salary
- $99.5k to $160k
- Level
- Mid level
- Experience
- 3+ yrs
- Type
- Full time
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Below medianMidpoint $129.8k against 5,101 mid level roles with listed pay on Latentra. Middle half earns $114.7k to $169.1k.
Skills in this role
About the job
Key job responsibilities
A successful candidate is a seasoned data professional with a strong bias for action, data modeling, ETL, SQL, and scripting skills.
- In this role, you will help identify complex business problems, identify opportunities, and implement solutions to improve operations finance facing systems, processes, and tools.
- You will provide technical expertise in extracting, integrating, and analyzing critical data.
- Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause and steps to resolution and design/develop key performance metrics and indicators.
- You will be a self-starter, quick learner, comfortable with ambiguity, result-oriented with strong attention to detail, insist on high standards, support thoughtful decision-making, and adapt to a rapidly evolving environment.
- Demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment.
- Collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions.
- Collaborate and communicate effectively with executives and business units across Amazon, and prioritize the most impactful projects and programs to drive businesses forward.
A day in the life
A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions.
Further, you will help automate processes by developing deep-dive tools, metrics, and dashboards to communicate these insights in real time to the business teams.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Rapid and Rural Logistics team covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural (RSR), and Amazon Now. Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one- vs two-way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
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 - 99,500.00 - 160,000.00 USD annually
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