Localité : Nigeria / Abuja Domaine : Statistique Niveau : Non precise Entreprise recruteur : Chemonics International Inc
Recrutement de 01 Forecasting and Supply Planning Advisor
Niveau d'études: Non précisé
Expérience: Non précisé
Expire le: 12-09-2022
Chemonics
Nigeria
Data Analytics and Business Intelligence Advisor | Nigeria | 2022
Chemonics seeks a Nigerian cooperating country national Data Analytics and Business Intelligence Advisor for the USAID Global Health Supply Chain Program – Procurement and Supply Management project and the Global Fund project in Nigeria. These projects aim to ensure an uninterrupted supply of health commodities to prevent suffering, save lives, and create a brighter future for families around the world. The Data and Business Intelligence Advisor will provide programmatic and operational support for all data management, analytics and reporting (DaMAR) activities, across all health areas. This position will be based in Abuja, Nigeria. We are looking for individuals who have a passion for making a difference in the lives of people around the world.
Responsibilities include:
Support Data Management, Analytics and Reporting related activities of GHSC-PSM (Nigeria Health LMIS, facility level commodity orders, Integrated Distribution Information, deliveries document, National Integrated Specimen Referral Network (NISRN) etc.)
Build validation rules to track all Lookup, dimensions and transaction tables for conflicts and reconcile for consistency
Manage access to data needs for Staffs as self-service, create scripts/queries to automate routine Information & reports for exports, and maintain logs of all information retrieved from the system
Develop and maintain dashboards to visualize data and provide insight into the organization performances on supply chain data and information.
Support the identification, deployment and use of appropriate Data Management, Analytics and Reporting tools such as Power BI, QGIS, R-studio, python, SQL, Microsoft Azure in the GHSC-PSM project
Manage and review last mile delivery (LMD) Order, warehouse Inventory Transaction information and Deliveries data for programs and services of GHSC-PSM and related interests.
Generate LMD Order and deliveries data report and share with all operational units guide planning and decisions
Lead proof of deliveries (PODs) document management for all GHSC-PSM programs and services
Maintain a good knowledge and understanding of all office rules and procedures as set forth in the field office policy manual
Support achievement of the overall project goals as required to ensure project performance
Qualifications:
Bachelor’s Degree or master’s degree in Management Information Systems, Information Communications Technology, Statistics, Supply Chain Management, Sciences or related field.
At minimum 3 years of professional experience in data security, data analytics and database management, preferably in an international health care supply chain management environment.
At minimum of 3 years of work experience in ICT-based knowledge and information systems.
Ability to monitor and provide support to multi-functional teams in supply chain activities.
Experience working on a USAID or donor-funded project required
Demonstrated leadership, versatility, and integrity
Fluency in English is required
Application instructions:
Please apply by completing the form and submitting a CV using this link by September 12, 2022. No telephone inquiries, please. Only finalists will be contacted.
Chemonics is an equal opportunity employer and does not discriminate in its selection and employment practices on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organization, or other non-merit factors.
Chemonics values the protection of your personal data. If you are in the European Union, please read our EU Recruiting Data Privacy Notice to learn how we process personal data. You may access the notice via the following link:
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