Senior BI Engineer, AWS Earth's Best Employer (EBE) Programs

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Are you a Business Intelligence Engineer (BI Engineer) who loves to tell a story with data? Then let’s build something amazing together that helps AWS strive to become Earth’s Best Employer (EBE).

The EBE Program are looking for a seasoned BI Engineer to mine and visualize data and anecdotes from our builders and turn them into actionable insights. Partnering closely with the BeXT People Analytics team, our BI Engineer will have opportunities to not just exercise their technical skills, but develop information-rich, flexible and intuitive dashboards that help tell the story and discover actionable insights to serve our builders better. You will shine a light on the data to answer hypothesis. You will help identify the ways in which AWS can move the needle on becoming Earth’s Best Employer.

The successful candidate will have a deep knowledge of business intelligence solutions, possess statistical and analytical abilities, and the ability to work with technology, product development, and business teams. They will have passion for data analytics and visualization, be a self-starter comfortable with ambiguity, with high standards, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to help AWS become EBE.

Key job responsibilities

• Act as the BI Engineering expert for the team, building relationships with the data owners (People Analytics) and core customers (BeXT Service Delivery Leads and their HR Partners)
• Own and develop the BeXT “Voice of the Builder” (VoB) dashboards, and the intake mechanism for customer suggested improvements. Evolve the VoB outputs by incorporating machine learning powered data, such as sentiment.
• Define, measure and present metrics / automated reports on the VoB. Design new and/or enhanced metrics.
• Influence the design, build, and maintenance of data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue etc.
• Support the development of EBE measurements, metrics and KPIs in partnership with EBE research scientists and People Analytics.
• Develop these measures into a visual that helps the program team and Senior Leadership understand and track our progress against becoming EBE.
• Crisply communicate complex analysis, insights and recommendations to stakeholders and senior leaders verbally and in written artefacts.

A day in the life
You have the opportunity to influence and impact builder experience of work at AWS in two ways.

Core is the support and development of the “Voice of the Builder”. Starting with BeXT interactions and the perception and experience of AWS PXT, our goal is a broad understanding of how builders experience work, evidenced through their responses to survey mechanisms across AWS.

The EBE Program team is developing the measures and metrics to identify if we are moving the needle on becoming EBE. You will support the engineering behind this, combining your data mining capabilities with your data visualization skills.


About the team
The EBE Program team sits within Builder Experience (BeXT) in AWS. The team runs two complementary tracks. 1/ develop a deep understand of our builders. We do this through the VoB mechanisms, developing builder personas, building journey maps, and producing deep dive research. 2/ move AWS towards the EBE goal. We do this through a calibrated reporting mechanism, overseeing a portfolio of EBE initiatives across AWS, standing up initiatives where we identify an opportunity, and engaging with builders on what EBE means to them. Our vision is to create the environment at AWS that means builders can love their jobs

BASIC QUALIFICATIONS

• 5+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
• 5+ years of experience in data mining and data-set preparation using SQL.
• 5+ years of experience with Tableau Desktop, QuickSight, or other relevant data visualization software.
• Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

PREFERRED QUALIFICATIONS

• Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field
• 8+ years of experience in a data engineer or BIE role with a technology company.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
• Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Advanced knowledge of SQL, shell scripting, Python/R, and MS excel.
• Strong understanding of BI technologies and their application including database warehousing and dashboarding
• Experience communicating with senior management as well as with colleagues from computer science, operations research, and business backgrounds.