Data Analyst (Hybrid)

Placements24; Paarl; Hybrid; ZAR 360.000 - 540.000; Vollzeit

Benefits dieser Stelle

Health insurance

Hybrid work model

Live in Paarl region

Zusammenfassung

Placements24 is seeking a data-driven Data Analyst in Paarl, Western Cape, to join a fast-growing e-commerce analytics team. You will collect, clean, and analyze datasets, build dashboards, and translate findings into clear business insights to guide decisions.

The role offers a hybrid work model with in-office collaboration, opportunities to work with Tableau, Power BI, and Excel, and exposure to cross-functional projects across Marketing, Sales, and Operations.

Qualifikationen

• Bachelor's degree in a quantitative field.
• 1-3 years of data analysis experience.
• SQL for data extraction and manipulation.
• Experience with Tableau or Power BI.
• Strong analytical and communication skills.
• Familiarity with statistics, Excel; Python or R is a plus.

Aufgaben

• Collect, clean, and preprocess data from multiple sources.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop dashboards in BI tools (Tableau/Power BI).
• Translate findings into actionable business insights.
• Collaborate with Marketing, Sales, Operations to understand data needs.
• Assist in A/B testing and other experiments.
• Monitor KPIs and provide regular performance reports.
• Identify process improvements through data analysis.
• Ensure data accuracy and integrity across analyses.

Kenntnisse

SQL proficiency

Analytical thinking

Communication skills

Problem solving

Team collaboration

Ausbildung

Bachelor's degree in quantitative field

Tools

Tableau

Power BI

Excel

Python

Jobbeschreibung

About the Role

Our client, a rapidly expanding e-commerce company operating out of **Paarl, Western Cape**, is seeking a detail-oriented Data Analyst to join their analytics team. This role utilizes a hybrid work model, allowing for a blend of remote flexibility and essential in-office collaboration. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions. This is a fantastic opportunity for someone passionate about data to contribute to key business strategies, improve customer experiences, and optimize operational efficiency. You will work with modern data tools and reporting platforms in a fast-paced, growth-oriented environment.

Key Responsibilities

• Collect, clean, and preprocess data from various sources (e.g., sales, marketing, web analytics).
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using BI tools (e.g., Tableau, Power BI, Looker).
• Translate data findings into clear, concise, and actionable business insights.
• Collaborate with different departments (Marketing, Sales, Operations) to understand their data needs.
• Assist in the design and execution of A/B tests and other experiments.
• Monitor key performance indicators (KPIs) and provide regular performance reports.
• Identify areas for process improvement and efficiency gains through data analysis.
• Ensure data accuracy and integrity across all analyses and reports.
• Present findings and recommendations to stakeholders at various levels.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 1-3 years of experience in a data analysis role.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with statistical concepts and techniques.
• Experience with Excel for data analysis and reporting.
• Basic understanding of programming languages like Python or R is a plus.
• Excellent communication and presentation skills.
• Ability to work effectively in both independent and team settings, adhering to a hybrid schedule in **Paarl**.

Benefits

• Starting annual salary of R .
• Hybrid work arrangement offering a blend of remote and office work.
• Opportunity to work with a growing e-commerce business.
• Exposure to diverse datasets and business challenges.
• Supportive and collaborative team environment.
• Benefits package including health insurance.
• Professional development and training opportunities.
• Live and work in the beautiful **Paarl** region.