Regional Business Intelligence Manager, DCSS Communities
We are seeking a Regional Business Intelligence Manager to work closely with various stakeholder groups to procure data center capacity and support long-term scaling strategies for AWS's infrastructure regions.
This role will involve researching and managing all aspects of transaction deal flow related to data center procurement projects in the region, encompassing both Colocation and Real Estate.
Key Responsibilities:
* Leverage advanced data science skills to prepare transaction business cases, forecast project costs, and partner with internal teams to submit business cases for leadership review.
* Assist with site selection processes, strategy development, and 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 the 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.
* Manage and manipulate 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 that enable in-depth analysis.
* Publish, analyze, and improve dashboards, operational business metrics decks, and key performance indicators.
* Build 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.
Requirements:
* 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 causes of business trends, formulating conclusions, and recommendations.
Preferred Qualifications:
* 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 of data sets.
* Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/Planning, or related technical field.