Business Intelligence Engineer, ADSP Product Operations & Analytics

Description

We're looking for a talented Business Intelligence Engineer who can turn data into actionable insights that drive strategic decisions. You'll work directly with business leaders to build analytics frameworks, design KPIs and dashboards, and create AI-powered workflows that help teams make smarter, data-driven choices.

-What You'll Do

In this role, you'll extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders. You'll need sharp analytical skills, sound judgment, and genuine curiosity about how our business works. Most importantly, you'll collaborate with diverse teams to create centralized data tools that meet different needs, goals, metrics, and risk considerations across the organization.

-What We're Looking For

We want someone who's customer-obsessed and detail-oriented-someone who can systematically break down complex problems and find solutions. You should be comfortable leading analytics initiatives, juggling priorities across multiple projects and stakeholders, and thriving in a fast-paced, dynamic environment.

You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.

If this sounds like you, we'd love to hear from you!

Key job responsibilities

- Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations

- Design and build resilient business intelligence solutions using Redshift, Oracle, and No

SQL databases that maintain accuracy despite data quality variations across multiple platforms and systems

- Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs

- Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency

- Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes

- Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities

- Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations

- Collaborate across engineering, data science, and business teams to build centralized data tools

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, No

SQL etc. experience

- 3+ years of developing automated reporting experience

- 2+ years of processing large, multi-dimensional datasets from multiple sources experience

- 1+ years of performing statistical analysis experience

- Experience with data modeling, warehousing and building ETL pipelines

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience in Statistical Analysis packages such as R, SAS and Matlab

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Preferred Qualifications

- Experience with AWS solutions such as EC2, Dynamo

DB, 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.

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