Business Intelligence Engineer, P2 Science, Data, and Insights

myGwork - LGBTQ+ Business Community; Vancouver; On-site; USD 76,000 - 128,000; Full time

Job summary

An established industry player is seeking a highly analytical Business Intelligence Engineer to shape pricing strategies through data-driven insights. This role involves developing automated analytics and anomaly detection tools that enhance customer experiences. The ideal candidate will have a strong background in data analysis, business intelligence, and a knack for simplifying complex data into actionable insights. Join a dynamic team that values innovation and customer trust, and contribute to impactful decision-making processes within a tech-driven environment.

Qualifications

• 3+ years of experience in data analysis and interpretation.
• Strong business intelligence experience with an entrepreneurial mindset.

Responsibilities

• Support business intelligence for customers and develop analytical reporting.
• Conduct analyses of business problems and present recommendations.

Skills

Data Analysis

SQL

Python

Data Visualization (Tableau, Quicksight)

ETL Processes

Statistical Analysis (R, SAS, Matlab)

Tools

Redshift

Oracle

NoSQL

AWS (EC2, DynamoDB, S3)

Job description

Business Intelligence Engineer, P2 Science, Data, and Insights

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Business Intelligence Engineer, P2 Science, Data, and Insights

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This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.

This role requires a hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peers' trust. To be successful in this role, you will need strong business intelligence experience and an entrepreneurial mindset.

Key job responsibilities

• Support business intelligence for your business and its customers.
• Develop, build, and deliver analytical reporting, models and business strategy.
• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
• Leverage LLMs to generate insights and drive growth discussions with product teams.
• Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
• Continuously invent, simplify, and automate your products, tools, services, and methodologies.
• Improve back-end data sources for increased accuracy and simplicity.
• Recognize and adopt best practices in reporting, analyses, data quality, and modeling.

About The Team

The Pricing & Promotions Science organization leverages planet-scale multi-modal data on billions of Amazon products and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long-term customer trust by ensuring Amazon's prices are always competitive and error-free.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience working as a Business Intelligence Engineer in a technology company.
• Experience with data visualization tools such as Tableau, Quicksight, or similar.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with statistical analysis packages such as R, SAS, and Matlab.
• Experience developing and presenting new metrics to better understand business performance.
• Proficiency in SQL and scripting (Python) for data processing and modeling.

Preferred Qualifications

• Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift.
• Experience with data mining, ETL processes, and managing large-scale complex datasets.

Amazon is an equal opportunity employer and values diversity. If you need workplace accommodations, please visit this link.

The salary range for this position is $76,400 to $127,600 per year, based on experience and qualifications. We offer total compensation including benefits, and possibly equity and sign-on bonuses. Applicants should apply via our careers site.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Business Development and Sales

Industries

• Technology, Information and Internet

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