Business Data Analyst

Network Finance; Randburg; On-site; ZAR 500,000 - 800,000; Full time

Job summary

Network Finance is seeking a Business Data Analyst to design, build, and manage BI capabilities that become the single source of truth across operations. You will collaborate with stakeholders to translate requirements into scalable reporting, dashboards, and predictive analyses that drive decisions.

You will work with Power BI, Databricks, Azure Synapse, and SQL in a cloud environment to optimise data models, automate reporting, and deliver insights across finance, operations, and commercial

Qualifications

• Degree or diploma in informatics, computer science, statistics, mathematics, information technology, or related field.
• At least 4 years' experience in BI, data analytics, or similar role.
• Experience building BI solutions in medium/large organisations; insurance domain is advantageous.

Responsibilities

• Analyse, design, develop, and support BI and analytics solutions
• Develop and maintain operational dashboards and reporting platforms
• Build governed data models and semantic layers for a single source of truth
• Integrate and standardise data across multiple systems
• Deliver advanced analytics and insights across operational and commercial functions
• Develop predictive reporting and trend analyses
• Support data quality, governance, and reconciliations
• Automate recurring reporting and BI processes
• Document reporting assets, data models, and definitions
• Translate data insights into actionable business recommendations

Skills

Power BI

SSIS

SSRS

Databricks

Python

Azure Data Factory

Azure Synapse Analytics

Microsoft SQL Server

T-SQL

Data Modelling & Warehousing

ETL Development

Predictive Analytics

Education

Bachelor's Degree or Diploma in Informatics/CS/Statistics/Math/IT

Tools

Databricks

Azure Data Factory

Azure Synapse

Microsoft SQL Server

SSIS

SSRS

Power BI

Python

T-SQL

Job description

Join a forward-thinking environment where data plays a critical role in driving operational excellence, commercial success, and strategic decision-making. As a Business Data Analyst, you will be responsible for developing and managing business intelligence capabilities that provide a single source of truth across multiple operational areas.

This role extends beyond traditional reporting and business intelligence, offering the opportunity to work on predictive analytics, performance forecasting, operational insights, and data-driven decision support. You will collaborate with business stakeholders to identify trends, risks, and growth opportunities while designing scalable reporting and analytics solutions that support informed decision-making.

If you are passionate about analytics, business intelligence, and transforming data into actionable insights, this role offers excellent exposure to modern cloud, reporting, and analytics technologies.

Key Responsibilities:

• Analyse, design, develop, and support business intelligence and analytics solutions
• Develop and maintain operational dashboards and reporting platforms
• Build and maintain governed data models and semantic layers to ensure a single source of truth
• Integrate and standardise data across multiple business systems and data sources
• Deliver advanced analytics and insights across operational and commercial functions
• Develop predictive reporting, trend analysis, and forward-looking performance indicators
• Support data quality initiatives, reconciliations, and governance standards
• Automate recurring reporting and business intelligence processes
• Document reporting assets, data models, and reporting definitions
• Translate complex data into meaningful business recommendations and commercial actions

Job Experience and Skills Required:

• Education: Bachelor's Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, Information Technology, or a related field
• Experience:
  • Minimum 4 years' experience in Business Intelligence, Data Analytics, or a similar role
  • Experience developing BI and reporting solutions within large or medium-sized organisations
  • Insurance industry experience highly advantageous
  • Experience translating business requirements into analytical solutions and actionable insights
• Technical Skills:
  • Power BI (essential)
  • SSIS (essential)
  • SSRS (essential)
  • Databricks (essential)
  • Python (essential)
  • Azure Data Factory (essential)
  • Azure Synapse Analytics (essential)
  • Microsoft SQL Server
  • T-SQL
  • Data Modelling and Data Warehousing
  • ETL Development
  • Predictive Analytics and Statistical Modelling
• Advantageous:
  • R, Java, C#, or C++
  • Big Data technologies such as Hadoop, Spark, or Kafka
  • Cloud platforms such as Azure, AWS, or Google Cloud
  • Insurance analytics experience across claims, underwriting, pricing, or broker performance
• Additional Requirements:
  • Strong analytical and problem-solving abilities
  • Ability to identify business opportunities through data analysis
  • Strong communication and stakeholder engagement skills
  • Ability to explain complex data concepts to non-technical audiences
  • Strong commercial awareness and business acumen
  • Ability to manage multiple priorities and deliver under pressure