Business Intelligence Engineer, WHS Data

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to join their Workplace Health and Safety Data team. This role is pivotal in supporting data and reporting needs, driving workplace safety and compliance through insightful analysis. You will engage with senior leaders to generate insights, simplify reporting, and enhance data infrastructure. If you have a passion for data and a desire to make a difference in workplace safety, this opportunity offers a chance to innovate and contribute to a safer work environment.

Qualifications

• 3+ years of experience analyzing data with Redshift, Oracle, NoSQL.
• Experience with data visualization tools like Tableau or Quicksight.

Responsibilities

• Design and implement BI solutions for complex problems.
• Conduct deep dive analyses and provide recommendations for leadership.

Skills

SQL proficiency

Data analysis

Data visualization (Tableau, Quicksight)

Statistical analysis (R, SAS, Matlab)

Python for data processing

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics

Master's degree in relevant quantitative fields

Tools

Redshift

Oracle

NoSQL

AWS (EC2, DynamoDB, S3)

ETL pipelines

Job description

Business Intelligence Engineer, WHS Data

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS), we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares our passion for making our employees and partners' lives better.

The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, responsible for providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Business Unit (BU) BI team in the WHS Organization. The role requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that impact organizational decisions. The role demands high proficiency in complex SQL scripting, often joining multiple data sets from diverse sources. It requires ownership, autonomy, and the ability to communicate project roadmaps, prioritization, and release notes effectively to stakeholders, including leadership.

Key job responsibilities

1. Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
2. Conduct deep dive analyses and formulate conclusions and recommendations for leadership
3. Identify opportunities to drive analytical reporting and business strategy
4. Produce written recommendations and insights to shape metric development and reporting
5. Simplify and automate reporting, audits, and data-driven activities
6. Partner with Data Engineering to enhance data infrastructure and access to insights
7. Develop and promote best practices in data integrity, analysis, and documentation
8. Learn new technologies to support product and process innovation

Minimum 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
• Proficiency in statistical analysis packages such as R, SAS, or Matlab
• SQL proficiency and scripting experience with Python for data processing
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or related field

Preferred qualifications

• 5+ years of experience with Redshift, Oracle, NoSQL, etc.
• Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, and handling large-scale datasets
• Master's degree in relevant quantitative fields

Amazon is an equal opportunities employer. We value diversity and are committed to creating an inclusive environment. For accommodations during the application process, please visit our support page.