Senior Specialist Quantitative Analyst

Vodafone Group; Gauteng; On-site; ZAR 30 000 - 70 000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to support its Consumer Business Unit. This role involves preparing advanced decision-making models and analytics to enhance product implementations and financial performance across various initiatives. As part of a dynamic team, you'll collaborate with cross-functional groups, analyze large datasets, and present actionable insights to stakeholders. With a focus on driving business impact and continuous improvement, this position offers a unique opportunity to make a significant contribution to the company's success while enjoying competitive benefits and a supportive work environment.

Benefits

Retirement Benefits

Medical Aid

Staff Discounts

Partner Benefits

Qualifications

• 3-5 years of experience in data analytics and financial modeling.
• Strong analytical, communication, and influencing skills.

Responsibilities

• Collect and integrate data for advanced decision-making models.
• Analyze customer data and identify performance gaps.

Skills

Data Analytics

Financial Modeling

Problem-solving

Communication Skills

Statistical Analysis

Adaptability

Relationship Management

Attention to Detail

Education

BSc in Actuarial Science

BSc in Statistics

BSc in Applied Mathematics

BSc in Computer Science

BSc in Engineering

Tools

SAS

R

SQL

MS Office

Job description

When it comes to putting people first, we're number 1. The number 1 Top Employer in South Africa. Certified by the Top Employer Institute.

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.

Key Responsibilities

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
• 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.

What We Offer

• Competitive incentives and benefits including retirement, medical aid, and risk benefits.
• Staff discounts and partner benefits.

Application Details

Closing date for applications: 03 May.
Location: Midrand, Vodacom Campus.

We are committed to diversity and inclusion and encourage applicants from all backgrounds, including people with disabilities.