Are you passionate about transforming complex business challenges into data-driven solutions? Do you thrive on mentoring teams while architecting scalable analytics infrastructure? AMXL Japan is seeking an exceptional Senior Business Intelligence Engineer to lead our analytics strategy and drive business transformation through innovative data solutions. Join us in shaping the future of Heavy & Bulky logistics while developing and mentoring the next generation of analytics talent.
At Amazon, we're working to be the most customer-centric company on earth. We operate one of the largest e-commerce businesses in Japan, and we are building a fulfillment network which customers can shop with the fastest delivery when they want any goods they want. Our supply chain logistics is becoming more complex every day under continuous growth of Amazon Japan. Therefore, there is a need to create and improve indicators and dashboards related to transportation, stable operation and efficiency of operations, and even to improve the efficiency of these business operations themselves using AWS and Amazon internal tools.
Key job responsibilities Technical Excellence:
- Design and implement scalable data pipelines, automated reporting solutions, and robust BI infrastructure using AWS and internal tools
- Develop and maintain data quality standards, monitoring mechanisms, and governance frameworks
- Lead complex analytical projects from conception to deployment while ensuring engineering best practices Strategic Leadership:
- Own end-to-end analytics strategy and execution while partnering with senior leadership to translate business challenges into analytical solutions
- Lead the development of metrics frameworks and KPIs that drive business success across AMXL JP
- Coach and mentor junior team members while fostering a data-driven culture and analytical excellence
A day in the life You begin your day participating in business reviews to stay aligned with critical network metrics and performance indicators. You collaborate closely with strategy & ops teams to identify data-driven opportunities for improving customer experience. Your day involves designing data solutions, optimizing pipelines, and ensuring data quality across systems. You mentor junior analysts while developing impactful analyses and dashboards that drive business decisions. Working closely with stakeholders, you create documentation and proposals that align with your team's analytical roadmap. Occasionally you collaborate with teams within and outside Japan to exchange best practices. When analytical challenges emerge, you're ready to take charge, bringing your technical expertise to deliver solutions that drive AMXL's success.
About the team Amazon Extra Large (AMXL) JP team is a single threaded organization that owns Amazon's end-to-end Heavy & Bulky (H&B) logistics network with our willing and equally customer obsessed partners, offering shipping, service & support for consumers and companies in a safe, reliable, seamless, standardized, and sustainable way that surprises and delights our customers. Our delivery partners are experienced in H&B deliveries, providing special handling services such as Room of Choice Delivery, Installation/Assembly and Recycling/Haul-Away.
Our team is made up of a diverse group of individuals across operations, supply chain, tech, finance, planning, customer experience, business intelligence and program management that work closely and collaboratively across Amazon to constantly improve and scale our operations, always insisting on the highest standards and obsessing over delivering bigger smiles for our customers.
Basic Qualifications
- 5+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
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