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A leading company seeks a data analyst with expertise in managing large datasets and technical competence in database design and programming. You will provide analysis and insights to support business decisions while engaging with key stakeholders. Experience in data engineering, statistical analysis, and various data tools is essential for success in a fast-paced environment.
Regional daily uplift escalation request administration and prioritization, Rewards & recognition design, support analysis for Point of Failure in PCC, automation & digital tools issue resolution, continuous improvement in training framework, design of training framework (e.g., content, development needs, learning journey, etc.), knowledge management & communications design and implementation, performance & process excellence, quality assurance & support, quality management program, performance & scorecard reporting, performance trend analysis & recommendations, business case development, project prioritization, IT tool selection & configuration, technology transformation & escalation support, tool configuration & selection, customer data governance & insights, daily/weekly service monitoring, data science & insights, forecast & scheduling execution, forecast accuracy & variation impact analysis, real-time analysis, workforce management, business intelligence & analytics, consolidation and prioritization of daily uplift escalation requests support, escalation to CEPE if needed, crisis & contingency support, customer value proposition design & governance, design and implementation of PPP & rewards matrix, execution of PCC rewards & recognition, forecasting & planning (translating the business plan), initiation of QDM projects on local issue resolution, in-market analysis, KPI & target setting, local market/sub-regional support & cross-function coordination, local stakeholder management, process & policy improvement, project portfolio maintenance & demand management, regional project implementation in local contexts, root cause analysis & continuous improvement, sub-regional alignment with sales on PCC customer enrollment/delisting, support for internal & external audits, support for level 1 backend infrastructure, SOP development & best practices sharing, stakeholder and local process alignment for continuous improvement initiatives, support for UAT, tracking & analysis, traffic management.
Key Responsibilities
The ideal candidate must have a good understanding of technology, cloud data management, and data sciences within a fast-moving, large-scale, and agile environment. The person must have strong capabilities in analytical concepts including, but not limited to, data mining, data engineering, data quality, machine learning, mathematical modeling, and predictive modeling. A broad analytical application skill set with experience across various platforms, a background in mathematics and statistical analysis is highly desirable, and experience in contact center systems and data definitions will be an advantage.
Stakeholder Engagement
What You’ll Need to Succeed:
Additional skills include strong analytical skills, understanding of contact center metrics, excellent communication skills, and the ability to present insights clearly.
Experience with vendor engagement, management, and technical exposure to R programming, Python, SQL, BI tools, predictive modeling, and big data frameworks is advantageous.
FedEx promotes diversity and equal opportunity employment. All qualified applicants will be considered without regard to age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, disability, or other protected characteristics.