Business Intelligence Specialist/Senior Specialist – CE Planning & Engineering

FedEx Group; Petaling Jaya; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading company in logistics is seeking a skilled Data Engineer to manage data governance and analytics in a dynamic environment. The ideal candidate will have expertise in data engineering tools and cloud solutions, along with strong analytical and stakeholder engagement skills. This role involves providing key insights to drive business decisions and managing vendor relationships to ensure compliance with company standards.

Qualifications

• 5 years’ experience in data, reporting, governance, and analytics.
• Experience in data engineering, particularly with Oracle SQL Developer and MS SQL Management Studio.
• Strong problem-solving skills and trend identification.

Responsibilities

• Providing technical expertise to influence business decisions.
• Engaging with stakeholders and participating in meetings.
• Managing vendor expectations and onboarding processes.

Skills

Data governance

Data engineering

Analytical skills

Stakeholder engagement

Education

BA/BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Business Analytics, or Business Information Systems

Tools

Oracle SQL Developer

MS SQL Management Studio

Power BI

Business Objects

Job description

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 frameworks (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 markets, 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 data mining, data engineering, data quality, machine learning, mathematical modeling, and predictive modeling. Broad analytical application skills across various platforms, with a background in mathematics and statistical analysis, are highly desirable. Experience in contact center systems and data definitions will be an advantage.

Responsibilities include:

• Providing technical expertise and analysis, interpretation, and application of complex information to influence business decisions.
• Stakeholder engagement, participating actively in meetings with key stakeholders such as CE Managers, CE P&E analysts, and the wider CE service team.

What You’ll Need to Succeed:

• Proven knowledge of large and complex dataset governance, data engineering, with expertise in Oracle SQL Developer, MS SQL Management Studio.
• Technical expertise in data models, database design, data mining, and segmentation techniques.
• Strong knowledge of reporting tools (e.g., Business Objects), databases (SQL), programming languages (XML, JavaScript, ETL frameworks).
• Knowledge of statistics and experience with statistical packages (Excel, SPSS, SAS).
• Strong analytical skills with attention to detail and accuracy.
• Understanding of contact center concepts and metrics, including efficiency, productivity, and customer service levels.
• Excellent communication skills in English, both written and verbal, capable of working across organizational levels.
• Ability to present insights in a structured, data-driven manner, simplifying complex concepts for non-technical audiences.

Vendor Engagement / Management

• Engaging with vendors and stakeholders for proof-of-concept arrangements.
• Managing vendor expectations regarding requirements, timelines, and quality.
• Supporting vendor onboarding processes.
• Upholding integrity and fairness in vendor relationships according to FedEx policies.

Education

• BA/BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Business Analytics, or Business Information Systems.

Minimum Requirements

• At least 5 years’ experience in data, reporting, governance, and analytics.
• 5 years’ experience in data engineering, particularly with Oracle SQL Developer and MS SQL Management Studio.
• 2 years’ experience in Power BI dashboard development and data science analysis.
• Cloud solution architecture experience (AWS/Azure/GCP), with a preference for Azure.
• Strong problem-solving skills, trend identification, and business modeling experience.
• Understanding of contact center metrics and related systems (Cisco IPCC, Workforce Management).
• Advanced Excel skills including formulas, PivotTables, visualizations, dashboards, and VBA.

It is an advantage if you have experience with R, Python, Hadoop, Hive, Vertica, or similar big data frameworks, as well as statistical and data modeling packages.

FedEx is committed to diversity and equal opportunity employment, welcoming applicants regardless of age, race, gender, or other protected characteristics.