Data Analyst - Cape Town

Blu Label Unlimited; Cape Town; On-site; ZAR 540,000 - 780,000; Full time

Job summary

Blu Label Unlimited in Cape Town is seeking a Senior / Mid-Level Marketing Data Analyst to join our team at the Cape Town facility, blending database analytics with direct marketing. You will run target selections from customer databases, analyze segments, track campaign performance, and assess full P&L impact across channels, collaborating with marketing and call center teams.

This role requires strong SQL skills, financial acumen, and the ability to translate complex data into clear insights

Qualifications

• 3 to 4+ years in a database marketing, campaign analysis, or commercial analytics environment.
• Experience in Direct Marketing, Call Center Campaign Management, or online marketing is highly advantageous.

Responsibilities

• Query, extract, and match data from customer databases to prepare target lists for marketing campaigns (direct marketing, digital, and call centers).
• Analyze customer segments to determine which groups convert best and identify high-value target audiences.
• Apply strong financial acumen to measure campaign profitability, calculating accurate Profit & Loss (P&L) rather than relying solely on surface-level metrics.
• Translate complex technical data into clear, actionable insights for marketing teams, call centers, and senior management.
• Monitor performance, build recurring reporting frameworks, and continuously optimize database selection criteria.

Skills

SQL Proficiency

Data Visualization

Marketing Analytics

Communication Skills

Problem Solving

Tools

MySQL

MariaDB

PostgreSQL

Job description

We are searching for an experienced Data Analyst - Cape Town at our Cape Town facility.

Primary Duties And Responsibilities

Job Purpose

We are seeking a Senior / Mid-Level Marketing Data Analyst to join our unique business operating at the intersection of database analytics and digital/direct marketing.

This role bridges the gap between raw data analysis and commercial execution. You will run target selections from customer databases, perform match and segmentation analysis, track campaign conversion rates, and evaluate full Profit & Loss (P&L) impact across direct marketing channels and call centers.

Key Responsibilities

Database & Campaign Selections

• Query, extract, and match data from customer databases to prepare target lists for marketing campaigns (direct marketing, digital, and call centers).

Segmentation & Conversion Analysis

• Analyze customer segments to determine which groups convert best and identify high-value target audiences.

Commercial & Financial Evaluation

• Apply strong financial acumen to measure campaign profitability, calculating accurate Profit & Loss (P&L) rather than relying solely on surface-level metrics.

Cross-Functional Collaboration

• Translate complex technical data into clear, actionable
• Insights for marketing teams, call centers, and senior management.

Campaign Optimization

• Monitor performance, build recurring reporting frameworks, and continuously optimize database selection criteria.

Competencies

• SQL Proficiency: Hands‑on experience writing queries and managing data in relational databases (MySQL, MariaDB, PostgreSQL, or similar).
• Financial Acumen: Strong understanding of campaign economics, cost per acquisition (CPA), return on ad spend (ROAS), and full Profit & Loss (P&L) analysis.
• Marketing Knowledge: Understanding of digital marketing metrics, customer segmentation, and conversion funnel analytics.
• Strong Communication Skills: Ability to bridge the gap between technical database terminology and strategic marketing goals, presenting insights clearly to non‑technical stakeholders.
• Problem‑Solving: Analytical mindset with high attention to detail when working with large data sets.

Education & Experience

• 3 to 4+ years of experience in a database marketing, campaign analysis, or commercial analytics environment.
• Experience in Direct Marketing, Call Center Campaign Management, or online marketing is highly advantageous.

Our company provides equal employment opportunities (EE) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.