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Role Purpose/Business Unit:
This role supports the Consumer Business Unit (CBU) Prepaid team by preparing advanced decision-making models/tools and analytics to aid product implementations and improve commercial and financial performance across all Prepaid business initiatives. The candidate will be responsible for optimizing and automating reports and models to enhance team efficiency and modeling accuracy. They will gather data and strategic insights from relevant stakeholders and integrate these into the budgeting and forecasting processes, supporting senior management with insights and strategic recommendations.
Your responsibilities will include:
Advanced Analytical Support:
- Collect, integrate, and store raw data from various sources into the Teradata platform, collaborating with Big Data teams.
- Create automated and optimized tables in Teradata for daily and monthly reporting.
- Build and automate budget models and reporting processes.
- Identify opportunities to improve business processes, models, and systems, adding value to the team.
- Develop analytical solutions that meet stakeholder needs through insights.
- Support business continuity by upskilling team members and creating centralized data repositories.
- Build financial models and analyze customer trends and behavior.
- Discover patterns in large datasets using methods from machine learning, statistics, and econometrics.
- Identify key trends and predict potential risk impacts.
- Determine causal impacts and attributions.
- Analyze proofs of concept and market tests, including post-implementation reviews.
- Model and forecast future performance of users and products.
- Use intelligent data extraction methods to quantify financial impacts.
- Perform sensitivity analyses and stress testing on models.
Driving Business Impact:
- Collaborate with cross-functional teams to identify performance gaps and solve problems systematically.
- Create presentations that tell a story with insights and recommended actions.
- Translate data and methodology into actionable strategies and communicate findings effectively to teams and management.
Month-End Responsibilities:
- Analyze customer data related to Prepaid P&L movements and financial impacts.
- Proactively identify risks affecting performance.
- Review provisions and movements on loyalty and deferrals at segment and customer levels.
- Resolve ad-hoc queries in support of month-end reporting.
Monitoring and Evaluation:
- Assess the performance of campaigns and strategic initiatives.
- Support planning cycles and long-range financial modeling.
- Provide financial reporting, planning, and analysis support to the executive team and finance department.
Communication and Stakeholder Engagement:
- Present findings and recommendations to stakeholders.
- Manage budgeting and forecasting processes.
- Deliver high-quality reports and financial plans to meet targets.
- Engage stakeholders for input into budgets and forecasts, including scenario modeling.
Ideal Candidate:
- BSc in Actuarial Science, Statistics, Applied Mathematics, Computer Science, or Engineering.
- 3-5 years of experience in data analytics and financial modeling.
Required Skills:
- Understanding of macroeconomic environments.
- Business leadership and transformation skills.
- Adaptability, relationship management, and commercial acumen.
- Strong analytical, communication, and influencing skills.
- Resilience, ownership, attention to detail, and deadline orientation.
- Financial analysis, report writing, narrative building, and business planning skills.
- Problem-solving and experience with large datasets and predictive modeling techniques.
- Proficiency in statistical tools like SAS, R, SQL, and advanced MS Office skills.
We offer:
- Competitive incentives and benefits including retirement, medical aid, and risk benefits.
- Staff discounts and partner benefits.
Closing date for applications: 03 May 2025.
Location: Midrand, Vodacom Campus.
We are committed to diversity and inclusion and encourage applicants from all backgrounds, including people with disabilities.