The Ackermans story goes back as far as 1916, when Gus Ackerman opened the first store in Wynberg in Cape Town. His vision for the store was to create a place where customers could find great products at fantastic prices, which is exactly what Ackermans became. Ackermans was, subsequently, bought by the Pepkor Group in 1986. Today, there are more than 850 Ackermans stores in 5 countries, making us a leading value fashion retailer for the whole family - continuously setting the standard for value and affordability. With a wide selection of fashion for ladies, kids, babies, and men, as well as homeware, cellular, and key financial products, we’ll keep bringing value to your life every day.
Read more about this company
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
20 Initiatives to Boost Employee EngagementAre you struggling with improving employee engagement at work? This article covers everything from better communication to building a strong workplace culture.
30 Common Interview Mistakes to AvoidThis piece examines 30 of the most common mistakes applicants make at interviews, so you know how to better avoid them.
Gmail
Yahoomail