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Résumé du poste

Own end-to-end data analytics projects to build reports and metrics that drive Talent Acquisition strategy. Collaborate with leadership and technical teams to create scalable reporting solutions and automate business operations.

Détails du poste

Description As a Business Intelligence Engineer, this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that customer promise every day. In this role, you will own data analytics projects from beginning to end, and will build reports, compile metrics, and own ad hoc and trend analysis. You will utilize business intelligence tools to analyze data and drive key recommendations. You will work with Talent Acquisition leadership to achieve business objectives and communicate insights to key stakeholders. You will recognize and adopt best practices in reporting and analysis, including data integrity, analysis, validation, and documentation; and drive results in a fast-paced, ambiguous environment. You will provide analytical support for various Talent Acquisition programs, and build tools to surface timely, meaningful, and actionable data that will drive proactive decision making. Your analysis will contribute deeply to the development of our strategy and drive impact against our hiring objectives. You will collaborate with subject matter experts across Amazon to work through complex problems and to create unified scalable reporting solutions at an enterprise-wide level. You will have the opportunity to partner with the central HR Information Systems teams as an influencer on their next generation road map. Key job responsibilities Collaborate with recruiting operations, data scientists, and business leaders to define business processes and provide analytical support Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems Build scalable, efficient, and automated data processes to facilitate customer-facing reporting Automate TA processes to streamline business operations Communicate verbally or in writing to business customers / leadership for sharing insights and recommendations Build dashboards and reports for both recruiting leaders and the businesses they support Perform complex data analysis across multiple systems to support both scheduled and ad-hoc reporting requests Mine key performance indicators to discover root causes Analyze business outcome data in order to identify relationships and trends; incorporate data visualization and statistical analyses About The Team Amazon delights millions of customers around the world, and the Talent Acquisition team enables our business leaders to make informed and effective hiring decisions. Basic Qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL (Structured Query Language) to pull data from a database or data warehouse Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Preferred Qualifications Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field 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 Experience using Python scripting to process data for modeling Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 76,400.00 - 127,600.00 CAD annually Company - Amazon Development Centre Canada ULC Job ID: A10424171

Ce que vous ferez

Own end-to-end data analytics projects to build reports and metrics that drive Talent Acquisition strategy. Collaborate with leadership and technical teams to create scalable reporting solutions and automate business operations.

Exigences

Requires a bachelor's degree and 3+ years of experience analyzing data with tools like Redshift, Oracle, or NoSQL. Proficiency in SQL, data visualization tools, and advanced Excel is essential.

Avantages

• Health Insurance • Medical Insurance • Dental Insurance • Vision Insurance • Prescription Insurance • Basic Life Insurance • AD&D Insurance • Registered Retirement Savings Plan (RRSP) • Deferred Profit Sharing Plan (DPSP) • Paid Time Off

Compétences indiquées

• Visualisation de données · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Data Visualization
• ETL Pipelines
• Data Modeling
• Python
• Tableau
• QuickSight
• Redshift
• Advanced Excel
• Data Mining
• Business Intelligence
• Statistical Analysis

Domaines d’emploi

• Data & Analytics
• Human Resources
• Technology
• Engineering
• Software