Manipulate and mine data from database tables (Redshift, MySQL, QuickSight SPICE) using SQL and ETL pipelines; write scripts (Python, UNIX) to process log files and telemetry data at scale.
Develop and own analytical tools including deep-dive tools, dashboards (QuickSight, Tableau), Page 0 reporting surfaces, and executive-ready metric visualizations.
Own and deliver weekly (WBR), monthly (MBR), and quarterly (QBR) executive reporting with data pulls, narrative insights, and metric deep dives
Monitor existing metrics, develop and propose new metrics, and identify actionable risk signals
Lead LTV analyses to inform promotional strategy, campaign measurement, and business decisions
Perform deep-dives and root cause analysis to answer business questions; complete ad hoc data retrieval and analysis for product, finance, marketing, and operations stakeholders.
Work with cross-functional stakeholders to define the source of truth for business metrics and obsessively ensure data fidelity across verticals.
Effectively communicate (written and verbal) analytical findings, solutions, and methodologies to senior leadership and less-technical audiences.
Work with engineering teams to enable appropriate capture and storage of data, including PII/non-PII data governance and compliance.
Create and contribute to the team’s production AI agent ecosystem by feeding accurate datasets, metric definitions, and knowledge base content to agents
Support metric framework development and provide foundational BI signals
Leverage and extend AI-assisted workflows for automated ETL, TextQL for ad-hoc analysis, and the Skill Markdown Methodology for encoding domain knowledge into AI agents.
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 in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
