Business Intelligence Engineer - JWOA JWO Tech
Business Intelligence Engineer - JWOA JWO Tech
Posted on :
06-04-2025
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1 Vacancy
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Job Description
As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage daytoday operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons realworld experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are nobrainers to buy and easy to use.
Key job responsibilities
Analyze and visualize transaction data to determine customer behaviors and output solid analysis report with recommendation
Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
Develop metrics that helps support product category growth and expansion plans
Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation synthesis and modeling problem solving and communication of insights and recommendations
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Bachelors 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 in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Masters 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
Analyze and visualize transaction data to determine customer behaviors and output solid analysis report with recommendation
Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
Develop metrics that helps support product category growth and expansion plans
Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation synthesis and modeling problem solving and communication of insights and recommendations
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Bachelors 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 in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Masters 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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