Data Analyst

TooMuchWifi is a leading provider of fast, reliable, and affordable internet connectivity to aspirational communities in South Africa.  We are a fast-growing company with a great culture that encapsulates our values: Accountability, Kindness, Integrity, Teamwork, and Hard Work.  

We care deeply about our dedicated and hardworking team, as well as the communities we serve.  

Our purpose, mission, and social impact drive and inspire us every day. 

Our working environment is colourful, fun, collaborative, and kind.  We have come a long way and have amazing stories to tell!  

What we offer:

• Health Insurance and Medical Aid benefits
• Comprehensive Life Cover 
• Free 24/7 Employee Assistance Program (EAP) for all our staff and their family
• Annual performance bonuses and salary increases
• Generous time off (annual leave)
• Birthday leave
• Discounted TooMuchWifi internet packages
• Casual Fridays
• Fun company events
• Staff loans (interest-free)
• Successful candidate placement referral cash bonus for staff

We are looking for a highly analytical and proactive Data Analyst who thrives in a fast-paced, operational environment.

The ideal candidate is not just a report builder, but a problem solver — someone who can take real-world business challenges, structure them using data, and deliver clear, actionable insights that drive decision-making.

You should be comfortable working with imperfect data, collaborating across multiple teams, and delivering insights quickly to support business operations and growth.

This role sits at the intersection of operations, growth, and decision-making within TooMuchWifi.

The Data Analyst will be responsible for maintaining and improving reporting systems, supporting operational performance, and delivering insights across key business areas such as network operations, sales, collections, and customer experience.



The role focuses on answering three key questions:

• What is happening?
• Why is it happening?
• What should we do next?

• Operational Reporting & Monitoring
• Build and maintain daily, weekly, and monthly dashboards (e.g. Metabase, Google Sheets) across Operations, Network, Commercial, Call Centre, and Leadership
• Ensure data accuracy, refresh reliability, and dashboard usability
• Monitor key operational metrics and flag anomalies or risks
• Analytics & Decision Support
• Analyse performance across the customer lifecycle (lead → install → active → retained)
• Track and report on key business metrics including ARPU, churn, collections rate, bad debt, and DSO
• Identify trends, root causes, and improvement opportunities
• Deliver concise insights that explain what happened, why it happened, and what to do next
• Business & Growth Analysis
• Support expansion and growth initiatives through data-driven analysis
• Build structured views of communities including demand, serviceability, and performance trends
• Assist in evaluating opportunities using cost, revenue potential, and operational feasibility
• Process & Performance Improvement
• Identify inefficiencies in operations and recommend improvements
• Support process mapping and performance tracking across key workflows (e.g. lead → activation → collections)
• Contribute to improving data structures, tracking, and reporting frameworks
• Cross-Functional Collaboration
• Work closely with Sales, Network Operations, NOC, Customer Experience, Finance, and Marketing teams
• Support business-critical initiatives with data insights
• Translate technical findings into clear, actionable recommendations
• Data Quality & Governance
• Ensure consistency and accuracy of key metrics and reporting
• Maintain clear definitions and documentation for KPIs
• Support data governance and compliance (including POPIA where applicable)

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
• 2–4 years experience in a Data Analyst or similar role

Technical Skills

• Advanced Excel / Google Sheets (mandatory)
• Strong SQL skills (mandatory)
• Experience with BI tools (e.g. Metabase, Power BI, Tableau)
• Experience with automation (e.g. Apps Script, Python) is advantageous

Core Competencies

• Strong analytical and problem-solving skills
• Ability to work with incomplete or messy datasets
• Ability to prioritise and deliver under pressure
• Strong communication skills (technical and non-technical)
• High attention to detail and data accuracy
• Strong ownership and accountability mindset

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