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Data Analytics & Business Support Specialist

JOB PURPOSE


The Data Analytics & Business Support Specialist is responsible for transforming data into actionable insights to support business decision-making. This role works closely with cross-functional teams to deliver accurate reporting, identify trends, and improve operational efficiency through data-driven solutions.


JOB ACCOUNTABILITIES

  • Collect, analyze, and interpret data from multiple sources to support business operations.
  • Develop and maintain dashboards, reports, and visualizations (e.g., Power BI, Excel)
  • Ensure accuracy, consistency, and integrity of data across systems
  • Automate recurring reports to improve efficiency and reduce manual effort
  • Provide ad-hoc analysis and reporting to support business needs
  • Collaborate with stakeholders to understand reporting requirements and deliver relevant insights
  • Support operational teams with data-driven recommendations
  • Assist in business planning, forecasting, and performance tracking
  • Identify opportunities to improve data processes and reporting workflows
  • Recommend tools and solutions to enhance data quality and efficiency
  • Contribute to the development of best practices in data management


COMMUNICATION & WORKING RELATIONSHIPS


Internal

  • Senior Director Supply Chain
  • Supply Chain leadership team
  • Material Planning, Procurement, and Logistics teams
  • IT departments


KEY DIMENSIONS & RELATED JOB RESULTS

  • Accuracy of reports and dashboards
  • Timeliness of deliverables
  • Data quality and consistency
  • Stakeholder satisfaction


Qualifications & Education:

  • Bachelor’s degree in data science, Statistics, Computer Science, or related field.
  • Relevant certification (e.g., Data Analytics, Power BI, Tableau).
  • Master’s degree or postgraduate diploma is advantageous.
  • Data Analytics certificate.
  • High proficiency in English/Business correspondence required.


Experience:

  • Minimum 2-5 years of experience in Data Analysis or similar role
  • Proven leadership experience managing Data analytics.
  • Strong background in business analysis, KPI development, and performance reporting.
  • Supply Chain Experience is added advantage.


Training & Knowledge:

  • Proficiency in Python and SQL.
  • Advanced proficiency in data analysis and dashboarding tools (e.g., Power BI or Tableau).
  • Advanced proficiency in Microsoft Excel

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