Business Data Analyst

The role is responsible for analysing, interpreting, and leveraging data to drive strategic business decisions. This role combines technical expertise in data analysis with business acumen to identify trends, optimise operations, maintain price to optimise margin opportunities and support decision-making processes. The ideal candidate has strong analytical skills, a deep understanding of data systems, and the ability to communicate insights effectively to diverse stakeholders.

KEY RESPONSIBILITIES:

1.1 Data Analysis, Reporting & Pricing Management

• Collect, analyse, and interpret complex datasets to identify trends, patterns, and insights.
  
  
• Develop dashboards, reports, and visualisations to communicate findings to stakeholders.
  
  
• Ensure data accuracy and integrity across all reports and analyses.
  
  1.2 Business Insights & Strategy
  
  
• Collaborate with stakeholders to understand business challenges and objectives.
  
  
• Translate business requirements into data-driven solutions and actionable recommendations.
  
  
• Identify opportunities for process improvements and operational efficiencies.
  
  1.3 Data Management
  
  
• Maintain and optimise data systems, databases, and reporting tools.
  
  
• Ensure compliance with data governance policies and security standards.
  
  
• Support data cleansing, migration, and integration projects as needed.
  
  1.4 Cross-Department Collaboration
  
  
• Work closely with Operations, Finance, Sales, Marketing and IT to align data initiatives with business goals.
  
  PERFORMANCE INDICATORS FOR THE ROLE
  
  2.1 Data Accuracy and Quality
  
  
• Accuracy Rate of Reports: Percentage of reports delivered without errors.
  
  
• Data Cleaning Efficiency: Time spent on cleaning and preparing data versus analysing it.
  
  
• Percentage of Missing Data Addressed: Proportion of missing data identified and resolved in datasets.
  
  2.2 Timeliness
  
  
• On-Time Report Delivery: Reports delivered within the agreed timeline.
  
  
• Turnaround Time for Ad Hoc Requests: Responsiveness to urgent or unexpected data analysis requests.
  
  2.3 Business Impact
  
  
• Revenue Impact: Financial impact of decisions based on the analysis through increases in sales, cost savings and profitability.
  
  
• Process Improvements: efficiencies and optimisations identified through analysis.
  
  
• Error Reduction Rate: Decrease in operational errors attributed to data-driven recommendations.
  
  
• Automation Implementation: Number of processes or reports automated to save time.
  
  
• Data Visualization Effectiveness: Percentage of stakeholders who find dashboards and visualizations clear and actionable.
  
  ABOUT YOU
  
  3.0 QUALIFICATIONS
  
  
• Graduate calibre, with a Degree in Analytics, Statistics, Economics or other Business-related field.
  
  4.0 EXPERIENCE
  
  
• Proven experience in data analysis or business intelligence in an engineering, manufacturing, technical, or capital equipment environment.
  
  5.0 PROVEN SKILLS
  
  
• Demonstratable expertise in data analytic tools and technologies and ERP Systems.
  
  
• Advanced knowledge of statistical and predictive analysis.
  
  
• Strong business acumen.
  
  
• Planning skills – able to develop high quality sales/marketing plans.
  
  
• Systems/process management – able to establish and ensure compliance with apt sales-management processes to be implemented by the team.
  
  
• Verbal & written communication skills – able to produce and present a variety of written material including reports, promotions, policies etc to non-technical stakeholders.
  
  
• IT literate across all standard office functions