D&A Data Insight Analyst at Vodafone Global Enterprise

Role purpose:

• To re-engineer the month-end reporting process through optimised scripting and automation 
• To integrate daily performance into month-end predictions and analytics
• To radically enhance the month-end analytics through the introduction of anomaly detection
• To build advanced data models to support critical regulatory & strategy projects
• To partner with Big Data and IT in the customer 360 data models and analytic tools

Your responsibilities will include:

• Month-end reporting & analytics: Central BI analyst responsible for the delivery of month-end data as well as insights 
• Data modeling: Build complex data models, while optimising the efficiency and quality of data collection.
• BI Solutions: Partner with Qlik developers and solution architects to design transformational analytical solutions 
• Predictive forecasting: Incorporate predictive forecasting into BI tools to enhance performance management and maintain models to improve forecast accuracy
• Actionable Insights: Deliver daily and monthly insights from data models to support commercial action and financial steering
• AI into BI: Incorporate new technologies such as machine learning and robotics to increase process efficiencies, enhance predictive forecasting and improve the quality of insights

The ideal candidate for this role will have:

Must have technical/professional qualifications: 

• Bachelor’s degree in Computer Science, Technology, Engineering or a related field
• Excellent knowledge of SQL and working with relational databases
• Comfortable working with Agile as part of a high-performance diverse team across three geographies

Core competencies, knowledge, and experience:

• Outstanding analytical skills and problem-solving ability
• Experience of working on complex data modeling projects to support strategic, financial and regulatory mandates
• Advanced SQL skills including extensive experience querying large, complex data sets
• Deep knowledge of Vodacom’s income statement structure in HFM and the supporting drivers of revenue and cost
• Knowledge of analytical tools such as R to support predictive forecasting
• Experience in working in visualisation tools like Qlik Sense or Qlik View
• Experience of working with and presenting to senior leaders and executives with excellent oral and written communication skills
• Capable of working under pressure, particularly for regulatory or month-end reporting deadlines
• Ability to work as a team with other BI professionals, with the desire to develop junior data analysts