We are seeking an experienced and strategic
Senior Business Data Analyst
to lead data-driven initiatives that shape decision-making across our organization. This pivotal role will involve analyzing complex datasets, developing actionable insights, and working cross-functionally to enhance business performance, drive growth, and support strategic planning.

If you are a data-driven professional with a passion for transforming numbers into meaningful business strategies, this role offers the opportunity to make a real impact.

Key Responsibilities

Data Management & Analysis

• 
  Analyze business performance data and deliver insights to support strategic initiatives.
• 
  Interpret data trends to inform forecasting, pricing, customer behavior analysis, and operational efficiency.
• 
  Develop and manage SQL queries, data pipelines, and ETL processes to extract and clean data from multiple sources.
• 
  Generate accurate and timely sales reports (daily, fortnightly, and monthly) including sales out, stock values, and stock movements.
  Ensure accuracy and consistency of business metrics across all reports and analyses.

Reporting & Visualization

• 
  Create and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
• 
  Develop and maintain business intelligence documentation, training materials, and best practice guidelines to support organizational data literacy.

Strategic Communication & Leadership

• 
  Present findings and recommendations to senior leadership in a clear, actionable manner.
• 
  Mentor junior analysts and support process improvements and standardization of analytics across teams.
• 
  Collaborate with cross-functional teams to understand business needs and ensure analytical solutions meet strategic goals.
• 
  Identify and implement opportunities for process improvements based on data insights.
• 
  Stay abreast of the latest trends and best practices in data analytics and business intelligence.

Requirements

• 
  Bachelor’s degree in
  Actuarial Science, Mathematics, Statistics, Data Science
  , or a related field.
• 
  5+ years
  of experience in data analysis, business intelligence, and performance reporting.
• 
  Proven ability to transform large datasets into actionable insights, develop commercial analysis reports, and design KPI dashboards.
• 
  Proficient in
  SQL, Power BI, Python, Tableau
  (R is an added advantage).
• 
  Strong background in business case formulation, forecasting, and regulatory reporting.
• 
  Experience with
  database management
  (Microsoft SQL Server, MySQL) and
  ERP systems
  (Microsoft Dynamics ERP, SAP).
• 
  Skilled in statistical modelling (regression analysis, hypothesis testing) and KPI tracking.
• 
  Strong communication skills with the ability to translate technical data into clear business insights.