Business Intel Engineer II, AADA Talent Acquisition Data Analytics (TADA)

Amazon; Vancouver; On-site; CAD 76,000 - 128,000; Full time

Job summary

A leading company is seeking a Business Intelligence Engineer II to enhance analytical capabilities in Talent Acquisition. The role involves data analysis, building automated processes, and collaborating with various teams to drive business insights. Ideal candidates will have strong technical skills and a passion for problem-solving in a dynamic environment.

Benefits

Equity

Sign-on Bonuses

Benefits

Qualifications

• 3+ years experience in data analysis and interpretation.
• Proficiency in SQL and Python for data processing.

Responsibilities

• Collaborate with teams to provide analytical support.
• Build scalable, automated data processes for reporting.
• Communicate insights to business leaders.

Skills

Data Analysis

Problem Solving

Collaboration

Tools

SQL

Python

Tableau

Redshift

Oracle

NoSQL

R

SAS

Matlab

Job description

Business Intel Engineer II, AADA Talent Acquisition Data Analytics (TADA)

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Job Description

Are you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply technical individual who enjoys working with customers to transform how a business operates? Are you a builder that excels with ambiguity? Are you inspired by invention? Is problem solving through teamwork and working in a startup environment in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? If you answered yes to any of these, you’ll fit right in here. We are looking for Business Intelligence Engineer professionals to revolutionize our analytical capabilities in Talent Acquisition (TA). You will work on rebuilding our analytics from data ingress to complex transformations and reporting. In this role, you will invent, build, experiment, test new ideas, evangelize successes, and drive consistency.

The ideal candidate is an independent Business Intelligence Engineer capable of sourcing, cleansing, analyzing, refining, enriching, modeling, presenting, automating, and documenting our business data pipelines. You will continuously seek to optimize data flow processes, stay updated on data warehousing trends, and manage multiple projects.

Key Responsibilities

1. Collaborate with recruiting operations, data scientists, and business leaders to define processes and provide analytical support.
2. Use code to analyze complex datasets and develop data transformations to solve business problems.
3. Build scalable, efficient, and automated data processes for reporting.
4. Automate TA processes to streamline operations.
5. Communicate insights and recommendations to business leaders verbally or in writing.

Basic Qualifications

• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization tools like Tableau or Quicksight.
• Experience with data modeling, warehousing, and ETL pipelines.
• Experience with statistical analysis packages such as R, SAS, or Matlab.
• Proficiency in SQL and scripting (Python) for data processing.

Preferred Qualifications

• Experience with AWS solutions like EC2, DynamoDB, S3, Redshift.
• Experience in data mining, ETL, and working with large-scale datasets in a business environment.

Amazon is an equal opportunity employer. For accommodations during the application process, visit https://amazon.jobs/content/en/how-we-hire/accommodations.

Salary ranges from $76,400 to $127,600 annually, based on experience and skills. Additional compensation may include equity, sign-on bonuses, and benefits. Apply via our career site.