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18 Dec 2024

Permanent Data Analyst – Pep Vacancies

PEP – Posted by JobLink24 Western Cape, South Africa

Job Description

Pep Vacancies – Data Analyst

Purpose of the Job:
As a Data Analyst, you will leverage retail, customer, and marketing data to generate actionable insights, optimize marketing campaigns, and support strategic decision-making. Your role will be key in driving data-driven initiatives within our large-scale retail environment.

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 system improvements and support predictive and prescriptive modeling projects.
  • Strategic Recommendations: Use your analytical skills to identify opportunities, make recommendations for future initiatives, and drive better business outcomes.

Role Requirements:

  • Qualifications: Business degree with analytical/commercial subjects (e.g., Computer Science, Mathematics, Engineering).
  • Experience: Minimum of 5 years’ experience as an analyst, preferably in a marketing or digital agency focused on delivering customer insights to drive behavioral change. Retail experience is an advantage.

Technical Skills:

  • Proficiency in Big Query SQL, Python, or R.
  • Advanced computer literacy, including MS Office, Excel, and Google Workspace.
  • Experience with data visualization tools (e.g., Data Studio, Tableau, Power BI).
  • Knowledge of statistics, data modeling, and data cleaning/enrichment.
  • Understanding of POPIA (Protection of Personal Information Act).

Soft Skills:

  • Strong business analysis and problem-solving skills.
  • Business acumen with the ability to work and present across various organizational levels.
  • Analytical mindset with excellent problem-solving capabilities.
  • Creative, curious, and proactive in approach.
  • Ability to work independently and take initiative.
  • Clear communication, including simplifying complex data for non-technical audiences.
  • Ability to work well within a team and share knowledge.
  • Supportive, patient, and approachable demeanor.

Competencies:

  • Attention to quality, working under pressure, presenting, structuring, listening, persuasiveness, assertiveness, creativity, and forming opinions

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