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
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Collect, analyze, and interpret data from multiple sources to support business operations.
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Develop and maintain dashboards, reports, and visualizations (e.g., Power BI, Excel)
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Ensure accuracy, consistency, and integrity of data across systems
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Automate recurring reports to improve efficiency and reduce manual effort
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Provide ad-hoc analysis and reporting to support business needs
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Collaborate with stakeholders to understand reporting requirements and deliver relevant insights
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Support operational teams with data-driven recommendations
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Assist in business planning, forecasting, and performance tracking
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Identify opportunities to improve data processes and reporting workflows
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Recommend tools and solutions to enhance data quality and efficiency
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Contribute to the development of best practices in data management
COMMUNICATION & WORKING RELATIONSHIPS
Internal
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Senior Director Supply Chain
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Supply Chain leadership team
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Material Planning, Procurement, and Logistics teams
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IT departments
KEY DIMENSIONS & RELATED JOB RESULTS
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Accuracy of reports and dashboards
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Timeliness of deliverables
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Data quality and consistency
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Stakeholder satisfaction
Qualifications & Education:
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Bachelor’s degree in data science, Statistics, Computer Science, or related field.
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Relevant certification (e.g., Data Analytics, Power BI, Tableau).
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Master’s degree or postgraduate diploma is advantageous.
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Data Analytics certificate.
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High proficiency in English/Business correspondence required.
Experience:
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Minimum 2-5 years of experience in Data Analysis or similar role
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Proven leadership experience managing Data analytics.
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Strong background in business analysis, KPI development, and performance reporting.
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Supply Chain Experience is added advantage.
Training & Knowledge:
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Proficiency in Python and SQL.
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Advanced proficiency in data analysis and dashboarding tools (e.g., Power BI or Tableau).
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Advanced proficiency in Microsoft Excel