Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
4+ years experience working in a data intensive environment and translating business needs into data requirements
2+ years experience Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, and/or Machine Learning and AI
Preferred Qualifications
Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
6+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI).
3+ years crisis management and resilience experience working in a large multinational organization.
3+ years experience collaborating effectively with PMs, non-technical team members, and other technical SMEs as well as across teams to define and implement sustainable solutions.
3+ years experience leading cross-functional and/or cross-team projects.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
Build scalable data assets (dashboards, underlying data sets, and workflows) to unlock reliable and high velocity decision support
Contribute to and manage the Azure infrastructure (e.g., Azure Data Lake Storage, Azure SQL, Azure Synapse, Kusto/Azure Data Explorer, Power BI, Azure Log Analytics, Data Flows, Fabric)
Perform analyses using a variety of analytical tools (SQL, Python, Azure Databricks, Synapse, Power BI, Fabric etc), execute analyses and interpret results with actionable recommendations, and partners to build on others’ frameworks.
Problem solve with crisis and resilience SMEs and do deep dive data analyses on their data flows, requirements and ideate data solutions
Continually ensure both security and privacy are paramount in the ways that Enterprise Resilience and Crisis Management (ERCM) stewards the data that it has access to.