Amazon · 19 hours ago
Business Intelligence Engineer, Inventory Accounting Team
Arlington, Virginia, USA
Full-time
Onsite
Mid Level
$90K/yr - $185K/yr
3+ years exp
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Responsibilities
Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.
Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.
Design and automate ETL pipelines for business metrics.
Partner with stakeholders from business, product and operations teams to define priority of BI projects, and reporting / Program Management for BI projects
Performing deep-dives to derive actionable insights; Creating models to predict outcomes and optimize business processes
Building self-service reporting tools and dashboards
Providing SQL support and delivering trainings (SQL, QuickSight, etc.)
Research the most appropriate methodologies for a given analytical problem.
Contribute to key business documents.
Architect and develop scalable data pipelines
Develop new data models and end to data pipelines.
Actively participate in design reviews of related tech products.
Interface with multiple finance and accounting customers, gathering requirements and delivering complete solutions.
Analyze and solve problems at their root, stepping back to understand the broader context.
Qualification
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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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience working directly with business stakeholders to translate between data and business needs
Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.
The successful candidate will be able to deliver products that exceed customer satisfaction, ensure data accuracy and completeness, automate manual tasks and develop efficient data pipelines.
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
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Understanding of system performance and scaling
Knowledge on LLM and Gen Ai.
Benefits
A full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10,001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (14000)
2022 (23375)
2021 (15334)
2020 (14558)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO· undefined
Leadership Team
Andrew Jassy
President, and CEO
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Recent News
2024-11-19
The Telegraph
2024-11-19
2024-11-19
Company data provided by crunchbase
