Note: The job is a remote job and is open to candidates in USA. Federal Express Corporation is a leading logistics and delivery services company seeking a Sr. Data Analyst. The role involves designing and implementing data processes, applying statistical analysis to inform business decisions, and mentoring less senior staff while communicating insights to management.
Responsibilities
- Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions
- Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources
- With moderate direction, creates solutions from initial concept to production
- Communicates results to a broad range of audiences
- Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis
- Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making
- Mentors less senior staff
- Works in cross functional projects and programs
- Routinely presents to management
Skills
- Master's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 3 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics
- As an equivalent alternative, the employer will accept a Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 5 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics
- Experience with enterprise-scale storage capacity planning and analytics, including Dell ECS object storage management and capacity planning and Dell PowerScale (Isilon) NAS storage management and capacity planning
- Ability to analyze and plan storage capacity across both object and NAS storage platforms, including evaluating architectural tradeoffs, data protection and redundancy models, performance considerations, and capacity efficiency to align storage solutions with diverse application and business requirements
- Experience analyzing raw versus usable capacity, forecasting storage growth trends, and assessing metadata and system overhead in highly available data center environments
- Experience developing advanced analytics, reporting, and data visualizations using Power BI to communicate capacity utilization, trends, and recommendations to technical and management audiences
- Experience extracting and analyzing infrastructure and service management data from ServiceNow (PDSM)
- Advanced proficiency in Microsoft Excel for quantitative analysis and modeling
- Ability to collaborate cross-functionally with architects, engineers, operations teams, and application stakeholders to translate business requirements into effective capacity planning solutions
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