Senior Data Analyst: Acquisition

Flash Group; Wes-Kaap; On-site; ZAR 300,000 - 400,000; Full time

Job summary

A leading tech company in Western Cape seeks an experienced Senior Data Analyst to analyze customer acquisition processes, provide actionable insights, and enhance operational efficiency. Ideal candidates will have extensive experience in data analysis within telecom, along with proficiency in SQL and BI tools. The role offers a permanent position with a focus on strategic growth and campaign optimization.

Qualifications

• Minimum 5 years’ experience in data analysis, preferably within telecoms, FMCG, or financial services.
• Knowledge of telecom acquisition metrics.
• Ability to perform statistical analysis and funnel modelling.

Responsibilities

• Analyse the full acquisition funnel from SIM distribution to activation to recharge.
• Build dashboards to monitor acquisition KPIs such as conversion %.
• Deliver monthly Acquisition Health Reports with insights.

Skills

Advanced proficiency in SQL

Analytical Thinking

Problem Solving

Strong ability to design dashboards

Excellent written and verbal communication skills

Education

Bachelor's degree in Data Analytics, Statistics, or related field

Tools

Power BI

Tableau

Qlik

Job description

Senior Data Analyst: Acquisition

Flash — Western Cape

Job Reference Number: FH-670

Department: Cellular

Business Unit:

Industry: Data

Job Type: Permanent

Positions Available: 1

Salary: Market Related

Analysing the customer acquisition funnel, ensuring SIM distribution translates into quality activations and long-term customer value. This role provides insights into inflow performance, early lifecycle stickiness, and channel effectiveness. By translating data into actionable recommendations, the role supports strategic growth, campaign optimisation, and operational efficiency.

Job Description

Company: A well-established brand with a global strategy, that prides itself on making people’s lives easier through frontier technology that creates enabling opportunities.

Culture:

At FLASH, we realise that “the way we do things around here” drives our business and enables us to achieve our purpose of “Making People’s Lives Easier”. Our 3 values are the drumbeat of our business:

• We are all in
• We have each other’s backs
• We are brave

These values help us to make our People’s lives easier by creating a culture where people come to work because it’s a place where they can engage in meaningful work, in a supportive environment where they can be the best version of themselves and achieve the remarkable!

Job Role

The Senior Data Analyst role is responsible for analysing the customer acquisition funnel, ensuring SIM distribution translates into quality activations and long-term customer value. This role provides insights into inflow performance, early lifecycle stickiness, and channel effectiveness. By translating data into actionable recommendations, the role supports strategic growth, campaign optimisation, and operational efficiency.

Responsibilities

• Analyse the full acquisition funnel from SIM distribution to activation to recharge.
• Measure and report on activation quality and identify fraudulent or non-productive activations.
• Track early lifecycle performance (0–6 months), including recharge timing, frequency, and ARPU ramp-up.
• Build dashboards to monitor acquisition KPIs such as conversion %, stickiness, and inflow ARPU.
• Evaluate channel and campaign performance, identifying which sources deliver quality customers.
• Provide insights into ROI of acquisition incentives (e.g., CIB payouts, tiered SIM rewards).
• Profile customers at the point of acquisition to predict long-term retention and value.
• Partner with Retention Analyst to link acquisition sources with churn outcomes.
• Deliver monthly Acquisition Health Reports with insights and recommendations.
• Work with Brand and Campaign teams to guide targeting and onboarding strategies.
• Support operational teams with real-time acquisition insights to improve field performance.
• Contribute to strategic planning by highlighting acquisition opportunities and risks.

Requirements

• Bachelor’s degree in data Analytics, Statistics, Economics, or related field (preferred but not mandatory if proven experience exists).
• Minimum 5 years’ experience in data analysis, preferably within telecoms, FMCG, or financial services.
• Advanced proficiency in SQL, Python or similar for data extraction and analysis.
• Strong ability to design dashboards and reports in BI tools (Power BI, Tableau, Qlik).
• Knowledge of telecom acquisition metrics (activations, inflow ARPU, CIB incentives, SIM-to-revenue conversion).
• Strong grasp of data governance and compliance in customer acquisition environments (KYC, fraud detection).
• Ability to perform statistical analysis, segmentation, and funnel modelling.
• Excellent written and verbal communication skills for translating insights into actionable recommendations.

Competencies / Attributes

• Analytical Thinking – Quickly interprets complex data to identify trends and opportunities.
• Problem Solving – Anticipates challenges and develops practical, data-backed solutions.
• Attention to Detail – Ensures accuracy and integrity of analysis and reporting.
• Business Acumen – Understands the commercial drivers behind acquisition performance.
• Collaboration – Works effectively across teams.
• Communication – Translates technical insights into clear, actionable business language.
• Adaptability – Adjusts to fast-changing priorities and competitive market conditions.
• Proactivity – Anticipates performance gaps and flags them before they escalate.
• Stakeholder Influence – Persuades decision-makers through evidence-based recommendations.
• Results Orientation – Focused on delivering measurable impact in acquisition quality and volume.

Thank you for your interest in joining our team. We carefully review all applications, and if your qualifications meet our needs, we will contact you within 14 days. If you do not hear from us within this timeframe, please consider your application unsuccessful. We appreciate your understanding and encourage you to apply for future opportunities that match your skills and experience.