Warehouse Operations / Data Analytics Officer at DRYVA Logistics

Responsibilities

Data Analytics:

• Raw data generation, tracking and gathering
• Data cleaning
• Data analysis
• Presentation of data in to usable form
• Trouble shooting
• Solve data/Inventory related problems

Inbound Freight:

• Conduct truck inspection before loading.
• Confront all quantity deviations and track accordingly.
• Supervise the loading and offloading of goods into the warehouse by the warehouse loaders.
• Count all products, compare to waybill and check all shipments for damage, infestation and production code dates
• Report shortages, damages and mis-shipments on appropriate forms, and communicate any discrepancies observed during receipt or release of goods to the Warehouse Manager.
• Record daily transactions in warehouse register.
• Sign for inbound shipments when / where necessary
• Truck arrival, loading and dispatch time tracking.
• Daily system posting of Inbound and outbound shipment

Storage:

• Maintain housekeeping standard at the loading docks and storage areas.
• Conduct daily warehouse tour.

Order Picking & Outbound Freight:

• Ensure correct number and type of product is picked
• Stencil, tag or mark orders as required
• Compare quantity, labelling and address with order to ensure outgoing shipments are complete and correct
• Accept signatures for outbound as necessary

Inventory Management:

• Keep accurate records and reports.
• Ensure proper stock rotation
• Support periodic cycle count as per the standard operating procedure.
• Update stock cards for goods in the warehouse.
• Participate actively in any Inventory variation troubleshooting.

QUALIFICATIONS

• BSc or HND in Statistics. Mathematics.Finance, Accounting, Business, Economics, Engineering or equivalent in a highly analytical field from a reputable institution.
• Must have completed the NYSC program.
• 2-4 years work experience in warehousing, preferably a similar role.
• Proficiency in Microsoft Office Suite (Excel, MS Word, Outlook and PPT).
• Supply chain/logistics and data analysis certification will be an advantage
• Strong organizational, interpersonal, and communication skills.
• Attention to details, and problem-solving skills
• Strong work ethic and positive attitude
• Ability to work independently with minimal supervision.