Data and Analytics Manager - Kuilsriver at Ackermans

• The main objectives of this role is to lead and direct the data and analytics function to ensure that we extract maximum business value from our data assets.

Qualifications  

• Essential - Tertiary Degree in mathematics / statistics / information technology or related discipline
• Preferred - Honours Degree in Data Science/Computer Science/Information Systems / Statistics/Applied Mathematics /Business Administration / Economics
• Knowledge, Skills and Experience    At least 10 years’ working experience as in a Data Analytics, Data Management or Data Insights position within the retail industry
• Proven and successful experience in execution of data analytics initiatives
• Experience in setting up data architecture and design
• Experience in leading large analytical teams
• Experience in building and leading quantitative analyses
• Building business insights, response and risk models for a business
• Experience working with a wide range of data to deliver descriptive, predictive and prescriptive models
• Senior Data Analyst in a fast paced and complex business setting
• Strong business / commercial acumen
• Deep understanding of a retail environment
• Strategic thinking - Be a thought leader in the data and analytics space as an enabler to drive execution of strategy
• Excellent Communication - Interact on all levels/with numerous departments’ personnel and departmental heads / executive management
• Good presentation skills and ability to simplify complex scenarios
• Data and information management
• Reporting Visualization
• Problem solving using advanced analytics techniques
• Highly proficient in workings of data technologies
• Work under pressure (remain calm and composed)
• Make strong, lasting and meaningful connections with others
• Strong data analysis skills
• Advanced analytical techniques and tools
• Data lifecycle management
• Sound understanding of Big Data Analytics platforms and tools

Key Responsibilities  

•  Enablement of Self-Help Data Analytics - Establish processes, technology, tools, skills and knowledge for data management.
• Strategic Analytics Services (Predictive Analytics) -Define the complex business questions needing solutions and define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
• Engagements -Form meaningful partnerships with business stakeholders to extract maximum value from the data and analytics tools.
• Central Reporting Services - Ensure congruence of information in the various daily, weekly and monthly reports and dashboards that are published across the business.
• Commercialization of Data - Support Business Units with strong data science capability that can drive business value by implementing advanced data, mathematical and statistical models.
• Protection of Personal Information - Ensure compliance with regards to POPIA for customers, employees and suppliers

Closing Date    
2023/06/24