Business Intelligence Engineer In Stock Amazon Fresh
Business Intelligence Engineer In Stock Amazon Fresh
Posted on :
11-04-2025
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1 Vacancy
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Job Description
Do you enjoy transforming data into actionable insights and taking datadriven approach to solving complex business problems Amazon Fresh is looking for a proactive Business Intelligence Engineer with strong technical and analytical skills. We are currently looking for a BIE to be located in London who will work with partners in the UK Instock Management team.
Knowledge of InStock Management processes preferred but not mandatory.
Key job responsibilities
Design implement and support key instock datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
Dive deep into InStock processes such as shrink management or availability tracking working with experienced InStock Managers to troubleshoot issues and build bespoke reports.
Design develop and maintain scaled automated userfriendly systems reports dashboards etc. that will support our business needs.
Participate in developing BIE roadmaps. Interface directly with customers and stakeholders gathering requirements and supporting endtoend reporting solutions.
Participate in developing department KPIs and operational metrics to drive improvements in automation and robotics projects
Develop complex queries for adhoc requests and projects as well as ongoing reporting.
Deep dive into large data sets to answer key business questions using SQL Excel and other data manipulation languages.
Maintain data integrity perform QA Audits and diligently troubleshoot issues.
Continually improve ongoing reporting and analysis processes while automating or simplifying selfservice support and access to authoritative data sets.
Generate daily weekly and monthly data reports for both internal and external business reviews.
Respond with urgency to high priority requests from senior business leaders.
About the team
Within International Amazon Fresh AIS (Analytics Insights and Science) strives to empower decisionmaking with actionable insights across banners. The team intentionally balances delivering value quickly (Minimum Lovable Products/P0 while driving for selfservice. We partner with WW analytics teams to scale our work and deduplicate efforts by working away. The team prioritises big rocks every 6 months whilst retaining a yearround SIM intake for emerging initiatives along with providing oncall and office hours for our stakeholders.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with SQL
Experience in the data/BI space
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Amazon is an equal opportunities employer. We believe passionately that 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 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 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.
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.
Knowledge of InStock Management processes preferred but not mandatory.
Key job responsibilities
Design implement and support key instock datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
Dive deep into InStock processes such as shrink management or availability tracking working with experienced InStock Managers to troubleshoot issues and build bespoke reports.
Design develop and maintain scaled automated userfriendly systems reports dashboards etc. that will support our business needs.
Participate in developing BIE roadmaps. Interface directly with customers and stakeholders gathering requirements and supporting endtoend reporting solutions.
Participate in developing department KPIs and operational metrics to drive improvements in automation and robotics projects
Develop complex queries for adhoc requests and projects as well as ongoing reporting.
Deep dive into large data sets to answer key business questions using SQL Excel and other data manipulation languages.
Maintain data integrity perform QA Audits and diligently troubleshoot issues.
Continually improve ongoing reporting and analysis processes while automating or simplifying selfservice support and access to authoritative data sets.
Generate daily weekly and monthly data reports for both internal and external business reviews.
Respond with urgency to high priority requests from senior business leaders.
About the team
Within International Amazon Fresh AIS (Analytics Insights and Science) strives to empower decisionmaking with actionable insights across banners. The team intentionally balances delivering value quickly (Minimum Lovable Products/P0 while driving for selfservice. We partner with WW analytics teams to scale our work and deduplicate efforts by working away. The team prioritises big rocks every 6 months whilst retaining a yearround SIM intake for emerging initiatives along with providing oncall and office hours for our stakeholders.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with SQL
Experience in the data/BI space
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
Amazon is an equal opportunities employer. We believe passionately that 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 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 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.
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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