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jobs description

It's fun to work in a company where people truly BELIEVE in what they're doing!

As a Data Analyst in 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.

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.

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 Visualization:

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 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.


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.

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.

Closing Date - 7th June 2024

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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Cape Town South Africa


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