Regional Business Intelligence Manager, DCSS Communities
- Dublin
- Permanent
- Full-time
- strategically oriented individuals with strong data analysis and communication skills
- working within an ambiguous environment
- possess a strong sense of ownership,
- adept at taking calculated risks in order to act quickly,
- organized and have program and project management skills
- data driven with a passion for continuous improvement.
- directly connecting with senior leaders and key vendors
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Worldwide Sustainability (WWS) organization capitalizes on Amazon's scale, speed, ability to build, invent, and simplify a resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.Key job responsibilities
- Leverage advantage data science skills to prepare transaction business case, forecast project costs and partner with internal teams to submit business case for leadership review.
- Assist with site selection process, strategy development, data analysis across the region.
- Manage stakeholder engagement from initial due diligence to contract review and execution, including management of all milestones to track contract execution and delivery from stakeholders.
- Support development of Master Telecommunications Service Agreements, Work Orders, Lease Agreements, and other contractual documents
- Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
- Managing and manipulating complex data sets utilizing multiple analytical tools.
- Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness and new value added activities.
- Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets
- Build rich data visualizations to tell the story of trends, patterns, and outliers. Test and challenge assumptions around DCSS scenario planning, sensitivity analysis, supply/demand planning, business size, and profitability - making recommendations for supply health and supportability activities or improvements to existing structures and frameworks.
- Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
- Design data pipelines and automated processes which enable in-depth analysis.
- Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
- Building automation models for our long-term and mid-term capacity planning processes
- Develop key processes relating to business intelligence and supply matters. Support training of all supply related tooling, key processes and modeling.
- Able to incorporate Artificial intelligence (AI) programs to drive automation and build further efficiency in the organization.
ABOUT AWS:Diverse Experiences
Amazon 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, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life 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, there's nothing we can't achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS
- Previous experience in Supply and demand planning, analytics, data engineering or business intelligence.
- Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
- Experience with data visualization, sensitivity analysis, scenario planning activities etc (PyPlot, Tableau, Salesforce, AWS QuickSight or similar tools)
- Experience writing SQL scripts, queries, and stored procedures to extract data.
- Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations.
- Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
- Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field.