As a Data Analyst at Pick n Pay Omnichannel you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights that drive strategic decision-making across different business units. The ideal candidate possesses a strong analytical mindset, attention to detail, and the ability to communicate findings effectively to both technical and non-technical stakeholders.
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science).
- Proven experience as a Data Analyst in an e-commerce or related industry.
- Proficient in data analysis tools (e.g. Excel, SQL, Python, R) and data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.
- Collaborative mindset and the ability to work effectively in cross-functional teams.
Responsibilities
Data Collection and Analysis
- Extract and analyze large datasets from diverse sources to uncover trends, patterns, and insights.
- Conduct thorough data validation and quality checks to ensure accuracy and reliability.
Reporting and Visualisation
- Create clear and visually appealing reports and dashboards to communicate findings to stakeholders.
- Utilize data visualization tools to present complex information in a user-friendly manner.
Collaboration with Business Units
- Work closely with marketing teams to analyze customer behavior, campaign effectiveness, and market trends.
- Support category management and merchandising by providing insights on product performance, inventory levels, and sales trends.
- Assist finance teams with financial analysis, forecasting, and budgeting
- Provide support to the operations team to identify efficiencies in operations to improve performance against KPIs
- Analyze and interpret data related to commercial strategies and drive data-informed decisions
Continuous Improvement:
- Identify opportunities for process improvement and efficiency gains through data-driven insights.
- Stay updated on industry trends and best practices in data analytics.
Competencies
Data Analysis
- Proficient in using data analysis tools such as Excel, SQL, Python, R, or others.
- Ability to clean, preprocess, and analyze large datasets to extract meaningful insights.
- Statistical Knowledge:
- Understanding of statistical concepts and methods to interpret data accurately.
- Ability to perform statistical analysis and hypothesis testing.
Data Visualization
- Proficiency in creating clear and effective visualizations using tools like Tableau, Power BI, or Matplotlib.
- Ability to present complex data in a visually compelling and understandable manner.
- Critical Thinking and Problem-Solving:
- Strong analytical skills to identify patterns, trends, and outliers in data.
- Ability to approach problems logically and develop effective solutions.
- Domain Knowledge:
- Understanding of the business or industry context in which data analysis is performed.
- Knowledge of key metrics and indicators relevant to the organization.
- Attention to Detail:
- Ability to conduct thorough data validation and ensure data accuracy.
- Meticulous in data cleaning and handling missing or inconsistent data.
- Communication Skills:
- Effective communication of complex findings to both technical and non-technical stakeholders.
- Ability to translate data insights into actionable recommendations.
Team Collaboration
- Capability to work collaboratively in cross-functional teams.
- Willingness to share insights and work with colleagues from various departments.
Time Management
- Efficiently manage time and prioritize tasks to meet deadlines.
- Ability to balance multiple projects simultaneously.
Continuous Learning
- Adaptability to evolving technologies and methodologies in the field of data analysis.
- Commitment to staying updated on industry best practices and emerging trends.
CLICK HERE TO APPLY
Closing Date: 7 June, 2024
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