Data Standardization & Automation Engineer, Operations Finance (Hiring Immediately)
Amazon TA London Full-time
Are you enthusiastic about the standardization of data and the automation of
Business Intelligence engineering processes to drive analytics and reporting?
Do you excel in fast-paced, ambiguous environments? Are you passionate about
is looking for a customer focused, analytically and technically skilled
Business Intelligence Engineer (BIE) to join the team. As part of the
transportation operation, Amazon ships several millions of packages every year
individual with strong analytical capabilities and exceptional business
acumen. As a valuable member of the growing BIE team within the central Tech
organization supporting WW operations finance, you will play a crucial role in
shaping our strategic innovation program. Your contribution will empower
project teams with insights into operational performance. The dynamic growth
of the business and the evolving complexity of the global transportation
network make this position both exciting and challenging. The ideal candidate
will not only elevate the standard for data retrieval and analysis but will
also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise. Attention to detail, proficiency and advanced skills in SQLDWHPython, and a knack for solving
data and reporting challenges are essential. Effective collaboration and clear
communication with functional teams, both regionally and globally, are
Key job responsibilities
The ideal candidate is a seasoned data professional with a strong bias for
action, possessing expertise in data modeling, ETL, SQL, and scripting.
Additionally, they should have a passion for presenting data in a visually
appealing and easily digestible manner. In this role, you will play a key part
in identifying complex business problems, recognizing opportunities, and
implementing solutions to enhance Operations Finance-facing systems, processes, and tools. The successful candidate will be a self-starter and
quick learner, comfortable with ambiguity, results-oriented, with a keen
attention to detail. They must insist on high standards, demonstrate decision-
making abilities, and be ready to adapt in a fast-paced, ever-changing
business environment. Your responsibilities will include setting data modeling
standards, constructing complex data pipelines, building and maintaining
multiple databases, identifying complexabstract problems, and uncovering
insights through the use of statistical, data mining, and visualization
techniques. Furthermore, you will contribute to process automation by
developing deep-dive tools, user interfaces (UIs), metrics, and dashboards to
communicate insights in real-time to business teams. Successful team members
collaborate effectively with business customers and cross-functional data
S&A; WW Ops Finance Tech org started in Oct23 (Brand new org) and with very
employing a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice (https:www.amazon.jobsenprivacy_page) to know more about
opportunity employer and does not discriminate on the basis of race, national
Business Intelligence engineering processes to drive analytics and reporting?
Do you excel in fast-paced, ambiguous environments? Are you passionate about
transforming data into actionable recommendations, implementing data
governance best practices, and defining standards for data access, quality, and consistency? If so, your search ends here! Join us to innovate and deliver
world-class business intelligence. Find out more about us in this video: https:www.youtube.comwatch?v=zt1qWl379rM
The Worldwide Operations Finance Standardization & Automation (SnA) Tech teamis looking for a customer focused, analytically and technically skilled
Business Intelligence Engineer (BIE) to join the team. As part of the
transportation operation, Amazon ships several millions of packages every year
to customers on time with high customer excellence.
The role demands a comprehensive grasp of data and reporting, requiring anindividual with strong analytical capabilities and exceptional business
acumen. As a valuable member of the growing BIE team within the central Tech
organization supporting WW operations finance, you will play a crucial role in
shaping our strategic innovation program. Your contribution will empower
project teams with insights into operational performance. The dynamic growth
of the business and the evolving complexity of the global transportation
network make this position both exciting and challenging. The ideal candidate
will not only elevate the standard for data retrieval and analysis but will
also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise. Attention to detail, proficiency and advanced skills in SQLDWHPython, and a knack for solving
data and reporting challenges are essential. Effective collaboration and clear
communication with functional teams, both regionally and globally, are
integral to the role. The ideal candidate thrives in a fast-paced, dynamic
environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to Work Hard. Have Fun. Make History..
Key job responsibilitiesKey job responsibilities
The ideal candidate is a seasoned data professional with a strong bias for
action, possessing expertise in data modeling, ETL, SQL, and scripting.
Additionally, they should have a passion for presenting data in a visually
appealing and easily digestible manner. In this role, you will play a key part
in identifying complex business problems, recognizing opportunities, and
implementing solutions to enhance Operations Finance-facing systems, processes, and tools. The successful candidate will be a self-starter and
quick learner, comfortable with ambiguity, results-oriented, with a keen
attention to detail. They must insist on high standards, demonstrate decision-
making abilities, and be ready to adapt in a fast-paced, ever-changing
business environment. Your responsibilities will include setting data modeling
standards, constructing complex data pipelines, building and maintaining
multiple databases, identifying complexabstract problems, and uncovering
insights through the use of statistical, data mining, and visualization
techniques. Furthermore, you will contribute to process automation by
developing deep-dive tools, user interfaces (UIs), metrics, and dashboards to
communicate insights in real-time to business teams. Successful team members
collaborate effectively with business customers and cross-functional data
management teams to solve problems and implement innovative solutions.
About the teamS&A; WW Ops Finance Tech org started in Oct23 (Brand new org) and with very
strong tech product road map upcoming year.
### BASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL
- Experience with data visualization using Tableau, Quicksight, or similar
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and
- Experience with SQL
- Experience in the dataBI space
- 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
Amazon is an equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice (https:www.amazon.jobsenprivacy_page) to know more about
how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity 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. For individuals with
disabilities who would like to request an accommodation, please visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.
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