36 applicants

Company

Original Job Post

Amazon · 2 days ago

Business Intelligence Engineer, Ad Product Finance

Seattle, WA

Full-time

Onsite

Mid Level

$90K/yr - $185K/yr

3+ years exp

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Responsibilities

Design, implement, and support a platform providing secured access to large datasets

Interface with Business, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions

Model data and metadata to support ad hoc and pre-built reporting

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Tune application and query performance using profiling tools and SQL

Analyze and solve problems at their root, stepping back to understand the broader context

Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets

Triage many courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

Work with stakeholders to understand and design solutions on major projects

Seek opportunities to streamline existing Finance manual processes and automate using BI technology

Attend team standup to go over existing development, blockers and help troubleshoot issues

Continue to adopt new technologies that benefit the business. Examples: linear regression model, serverless automation, big data processing, and system integrations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisData InterpretationRedshiftOracleNoSQLData VisualizationTableauQuicksightData ModelingETL PipelinesSQL QueriesStatistical AnalysisRSASMatlabDatabase ManagementPython ScriptingAWS SolutionsData MiningETL

Required

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 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

Preferred

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

Benefits

Equity

Sign-on payments

Full range of medical benefits

Full range of financial benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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Trends of Total Sponsorships

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2022 (23375)

2021 (15334)

2020 (14558)