Business Intelligence Engineer, Ads finance

Amazon; Dallas (TX); On-site; USD 89,000 - 185,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to enhance its Advertising business through data-driven insights. This dynamic role involves collaborating across teams to build data solutions, conduct in-depth analyses, and present findings that influence strategic decisions. The ideal candidate will thrive in a fast-paced environment, leveraging their technical and analytical skills to drive business growth. Join a company committed to innovation and diversity, where your contributions will directly impact the customer experience and business success.

Benefits

Medical benefits

Equity options

Flexible working hours

Career development opportunities

Qualifications

• 3+ years of experience in data analysis and interpretation.
• Proficient in SQL and Python for data processing and modeling.

Responsibilities

• Design and maintain scalable data solutions for business strategies.
• Translate business problems into data questions and present findings.

Skills

Data Analysis

Business Intelligence

Statistical Analysis

SQL

Python

Data Visualization

Data Interpretation

Education

Bachelor's Degree in a related field

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

AWS (EC2, DynamoDB, S3)

Job description

Business Intelligence Engineer, Ads finance

Job ID: 2907805 | Amazon.com Services LLC - A57

Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon’s Advertising business focusing on Amazon Business Ads.

This role will be the key contributor supporting the Amazon Business Ads (AB Ads) team. The person will build out the business insights, analysis practice, and data infrastructure for AB Ads stakeholders, gaining visibility across Ads, Retail, and Finance organizations. We generate insights to guide product and partner strategy (including Sales and Demand Generation), and we provide direct business strategy support to senior leaders. We are motivated to improve ads experience for both AB advertisers and AB shoppers.

As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s Customers.

This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including Product Managers, Data Engineers, Finance Managers, Software Engineers, Data Scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity and complex datasets and business problems. The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.

Key job responsibilities

1. Explore and deep dive into new AB ads features to support business decision making and growth opportunities
2. Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
3. Simplify and re-invent current data solutions to support the business scope expansion
4. Translate business problems into data questions, find solutions to solve those questions with resourcefulness
5. Present analytical findings and recommendations to business leadership
6. Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.
7. Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation

This role promises to give exposure to a high growth business. This BIE will be actively involved in reinventing data solutions, building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses.

BASIC QUALIFICATIONS

1. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
2. Experience with data visualization using Tableau, Quicksight, or similar tools
3. Experience with data modeling, warehousing and building ETL pipelines
4. Experience in Statistical Analysis packages such as R, SAS and Matlab
5. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

1. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
2. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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 here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here. This position will remain posted until filled. Applicants should apply via our internal or external career site.