About the position
Introduction
To execute and manage the Data Analytics stream within the Data Science division in Pick n Pay Omnichannel. Lead and guide the data analysts & on-the-ground tasks that provide the Omnichannel team & greater PnP with data & insights necessary to execute the strategy and drive decisions that ensures that our strategies are customer centric, accelerate growth and create efficiencies.
Duties & Responsibilities
This role is responsible for leading and nurturing a team of analysts, ensuring high-quality deliverables and efficient workflow. The manager will oversee the end-to-end delivery process, from task allocation to the final output, to support the company's goal of enhancing customer experiences and optimizing business operations through comprehensive data insights.
Lead, mentor, and develop a team of data analysts, fostering a collaborative and high-performance culture.
Manage the team's workflow, prioritizing tasks to meet business needs and ensuring timely delivery of high-quality analytical outputs.
Oversee the design, implementation, and continuous improvement of analytical processes and methodologies.
Ensure the accuracy, reliability, and relevance of the data and insights provided by the team.
Collaborate with cross-functional teams in Omnichannel namely Marketing, Operations, Digital Media, Category and Merchandising and Finance, to identify data needs and translate business requirements into analytical solutions.
Provide strategic insights and recommendations to senior leadership based on data analysis and trends.
Monitor and evaluate the impact of data-driven decisions on business performance, making adjustments as necessary.
Desired Experience & Qualification
8+ years' experience in a Data Analytics role within an e-commerce or traditional retail environment
2+ years' experience in a Data Analytics managerial role involving developing & managing analysts, leveraging analytics tools and at least one visualisation platform such as Qlik, PowerBI, etc.
3 - 5 years retail experience
Competencies
Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.
Leadership: Proven ability to lead and motivate a team, driving performance and development.
Project Management: Strong organizational skills to manage multiple projects and ensure timely delivery.
Technical Proficiency: Advanced knowledge of data analytics tools and software.
Communication: Excellent verbal and written communication skills to articulate data findings clearly and effectively.
Problem-Solving: Strong problem-solving skills with a proactive approach to overcoming challenges.
Collaboration: Ability to work effectively with cross-functional teams and stakeholders.
Adaptability: Flexibility to adapt to changing business needs and priorities.
Attention to Detail: Meticulous attention to detail to ensure data accuracy and quality of insights.
Strategic Vision: Ability to think strategically and align data initiatives with business goals.
