Amazon Regional Business Intelligence Manager DCSS Communities 

Ireland, Dublin 

156027395

Our Business Intelligence Managers are:
• 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
• experts in supply tooling development and have skills to drive supportability aspects within the team.
• data driven with a passion for continuous improvement.
• directly connecting with senior leaders and key vendors
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.
• Drive our supportability data and other supply tooling to ensure all locations in the region have an understanding of their supply plans.
• 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

• Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field
• 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.
• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
• Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations

• Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
• Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
• Experience with statistical analysis using python or similar tools
• Familiarity with solutions such as AWS, EC2, S3, Redshift - Knowledge and direct experience using business intelligence reporting tools. (Salesforce, Tableau, QuickSight etc.)
• 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
• Experience communicating analytical outcomes to both business and technical teams
• Excellent written and verbal communication skills
• Strong interpersonal skills and advanced ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress