Job ID: 2748491 | Amazon.com Services LLC
Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Clarity team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.
Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.
We are currently seeking a talented and motivated Business Intelligence Engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Viz. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join Clarity, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.
Key job responsibilities
- Design and build business critical, highly available data pipelines in a stable, low cost model.
- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Monitor metrics, analyze data and partner with internal teams to identify process, system improvement opportunities and come up with BI solutions.
- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.
- Work directly with customers to integrate new data types, equipment, and incorporate feedback.
- Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
- Apply best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.
- Actively support and foster a culture of inclusion.
A day in the life
Successful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.
About the team
Our mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in Statistical Analysis packages such as R, SAS and Matlab
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance 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
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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.
Posted: September 12, 2024
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