Regional Business Intelligence Manager, DCSS Communities

Regional Business Intelligence Manager, DCSS Communities

DESCRIPTION

Our team is looking for a Regional Business Intelligence Manager to work with various stakeholder groups to procure data center capacity, support long term scaling strategies for AWS's infrastructure regions, and manage a portfolio of critical infrastructure agreements. As the Regional Business Intelligence Manager, you will research and manage all areas of transaction deal flow related to data center procurement projects in the region, for both Colocation and Real Estate.

Our Business Intelligence Managers are:

1. strategically oriented individuals with strong data analysis and communication skills
2. working within an ambiguous environment
3. possess a strong sense of ownership
4. adept at taking calculated risks in order to act quickly
5. organized and have program and project management skills
6. data driven with a passion for continuous improvement
7. directly connecting with senior leaders and key vendors

Key job responsibilities

1. 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.
2. Assist with site selection process, strategy development, data analysis across the region.
3. 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.
4. Support development of Master Telecommunications Service Agreements, Work Orders, Lease Agreements, and other contractual documents.
5. Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
6. Managing and manipulating complex data sets utilizing multiple analytical tools.
7. Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness and new value added activities.
8. Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.
9. 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.
10. Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
11. Design data pipelines and automated processes which enable in-depth analysis.
12. Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators.
13. Building automation models for our long-term and mid-term capacity planning processes.
14. Develop key processes relating to business intelligence and supply matters. Support training of all supply related tooling, key processes and modeling.
15. Able to incorporate Artificial intelligence (AI) programs to drive automation and build further efficiency in the organization.

BASIC QUALIFICATIONS

1. Previous experience in Supply and demand planning, analytics, data engineering or business intelligence.
2. Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
3. Experience with data visualization, sensitivity analysis, scenario planning activities etc (PyPlot, Tableau, Salesforce, AWS QuickSight or similar tools).
4. Experience writing SQL scripts, queries, and stored procedures to extract data.
5. Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations.

PREFERRED QUALIFICATIONS

1. Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
2. Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports.
3. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
4. Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field.

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 (https://www.amazon.jobs/en/privacy_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 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.
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