Data and Analytics Manager

1 week ago


Kuils River, South Africa Ackermans Full time

**Job Advert**:
At Ackermans we are looking to employ an experienced Data and Analytics Manager to join our Support Centre in Kuilsriver. 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


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