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7 Apr 2025

Permanent Data Analyst – Pep Vacancies

PEP – Posted by shazilih –  Western Cape, South Africa

Job Description

Pep Vacancies – Data Analyst

Description
As a Data Analyst, your primary focus will be to harness retail, customer, and marketing data to generate actionable insights that optimize marketing campaigns and guide strategic decision-making. In this role, you will contribute significantly to data-driven initiatives within a large-scale retail environment, playing a key part in shaping business outcomes.

Key Responsibilities

  • Data Insights & Analysis:
    Develop reports and interactive dashboards, conduct descriptive analysis on retail and customer behavior, and evaluate the performance of various projects and interventions.

  • System & Project Delivery:
    Lead the delivery of system improvements and provide support for predictive and prescriptive modeling projects.

  • Strategic Recommendations:
    Use your analytical skills to identify opportunities, make recommendations for future initiatives, and enable better business outcomes.

Requirements

Role Requirements

  • Business degree with Analytical/Commercial subjects (e.g., Computer Science, Mathematics, Engineering).

  • Minimum of 5 years’ experience as an analyst, preferably in a marketing or digital agency with a focus on delivering customer insights to change customer behavior.

  • Retail experience will be an advantage.

Technical Skills

  • Proficiency in Big Query SQL, Python, or R.

  • Above-average computer literacy (MS Office, Excel (Advanced), Google Workspace).

  • Experience with data visualization tools such as Data Studio, Tableau, or Power BI.

  • Knowledge of statistics and data modeling.

  • Experience with data cleaning and enrichment.

  • Understanding of POPIA (Protection of Personal Information Act).

Soft Skills

  • Strong business analysis skills.

  • Excellent problem-solving abilities.

  • Strong business acumen.

  • Comfortable working with and presenting to stakeholders across the organization.

  • Analytical mindset and the ability to solve complex problems.

  • Creative, curious, and proactive approach to tasks.

  • Self-motivated and able to work independently.

  • Clear communication skills, with the ability to share ideas in non-technical terms when required.

  • Ability to work effectively within a team and guide, mentor, and share knowledge with team members.

  • Supportive, patient, and approachable, with a passion for data and its potential impact on business success.

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