Business Analyst - Process Engineering at DHL Supply Chain Kenya in Nairobi, Kenya

    DHL Supply Chain Kenya logo

    Business Analyst - Process Engineering

    DHL Supply Chain KenyaNairobi, Kenya

    Posted

    4 days ago

    Apply by

    2 Sept

    Full Time
    On Site
    Mid
    Logistics & Transportation
    Data, Analytics & AI

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    Job Description

    This role bridges business needs and technological solutions within DHL Supply Chain Kenya. The Business Analyst will analyze data, identify improvement opportunities, and implement strategies to enhance operational efficiency in warehouse and transport operations. Responsibilities include developing reports and dashboards, collaborating with cross-functional teams, and supporting technology integration.

    Key Responsibilities

    • Gather, analyze, and interpret large datasets related to operations, identifying trends, patterns, and areas for improvement.
    • Develop and maintain comprehensive reports and dashboards to communicate key performance indicators (KPIs) to stakeholders.
    • Collaborate with cross-functional teams to understand business processes and workflows within the domain of the operations.
    • Propose and implement process improvements to enhance efficiency, reduce costs, and optimize resource utilization.
    • Work closely with IT teams to assess, recommend, and implement technology solutions that align with business objectives.
    • Provide insights into the integration of advanced technologies such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), Operations Management System, SmartREM suites, and data analytics tools.
    • Utilize historical data and industry trends to develop accurate demand forecasts for warehouse and transportation services.
    • Collaborate with demand planning teams to ensure alignment between warehouse and transportation capacity and business requirements.
    • Provide actionable insights to management for data-driven decision-making.
    • Engage with stakeholders to gather and document business requirements for system enhancements or new technological implementations.
    • Define, track, and analyze key performance indicators to evaluate the effectiveness of warehouse and transportation operations.
    • Ensure a clear understanding of user needs and expectations to inform IT development.
    • Project Management.
    • Management Information Systems.

    Required Qualifications

    • Bachelor's degree in industrial engineering / business / supply chain management.
    • Proven experience 3 years in operations / business analysis, preferably within the supply chain industry.
    • 3 years in warehousing/transport / logistics/FMCG environment.
    • Experience in SAP EWM, TRM, and technical aptitude for new business developments.
    • Experience working with ERP systems e.g., SAP, Oracle.
    • In-depth knowledge and understanding of wall-to-wall standard operating procedures and EWM system functionality.
    • Familiarity with warehouse, transportation management systems and logistics software.
    • Excellent organizational and time management skills.
    • Strong attention to detail and high level of accuracy.
    • Ability to work under pressure and meet tight deadlines.
    • Analytical mindset with problem-solving ability.

    Job Details

    Job Function

    Data, Analytics & AI

    Minimum Experience

    3 years

    Education Level

    Bachelor’s Degree

    Area of Study

    Engineering

    Field of Study

    Industrial Engineering

    Additional Information

    How to Apply: Visit the application link provided on this page to submit your application.

    Show Your Supply Chain Analytics Chops

    This role lives at the intersection of operations and technology. Hiring managers will probe how you turn messy warehouse and transport data into decisions that move KPIs. Bring proof of past process improvements and system rollouts.

    1. Quantify your impact: On your CV, show numbers: how much you cut costs, improved accuracy, or reduced downtime. For example, "reduced picking errors by 15% via dashboard-driven root cause analysis."

    2. Master the systems they use: Be ready to discuss SAP EWM and TMS in depth. If you lack hands-on, show you've trained on similar WMS and can ramp fast.

    3. Prepare a dashboard walkthrough: Bring a sample dashboard you built (even a mock) and explain the KPIs you chose and why.

    4. Speak the language of operations: Use terms like slotting, putaway, picking, dispatch, and yard management. Show you understand the physical flow.

    5. Show cross-functional collaboration: Give an example where you worked with IT and operations to implement a change. Highlight how you gathered requirements and managed expectations.

    6. Demonstrate analytical problem-solving: Expect a case study or scenario: how would you reduce transport costs? Walk through your data-gathering and analysis steps.

    7. Highlight your process improvement mindset: Share a specific before/after story: a bottleneck you identified and the solution you implemented.

    8. Know the industry trends: Mention current trends like automation, IoT, and predictive analytics in supply chain. Show you're forward-thinking.

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    Tags

    business analysis
    SAP EWM
    ERP
    supply chain
    data analysis