CCBA Data Science Graduate Internship Program application form 2023\/2024<\/strong>\u00a0| How to Apply Online.<\/p>\n
All Eligible and\u00a0Interested<\/span>\u00a0applicants may apply online for the\u00a0Coca-Cola Beverages Africa (CCBA)\u00a0<\/strong>before the\u00a0application deadline.<\/p>\n
The\u00a0Coca-Cola Beverages Africa (CCBA)<\/strong>\u00a0application form, requirements, eligibility, application guidelines, application deadli<\/a>ne-closing date, and other opportunities updates are published here on Studentspen.com for free.<\/p>\n
Coca-Cola Beverages Africa (CCBA)<\/strong>\u00a0is committed to fostering a data-driven culture and is seeking an ambitious and talented\u00a0BSc<\/strong>\u00a0Data Science\u00a0<\/strong>graduate to join our Master Data Management team. The purpose of this program is to expose unemployed graduates with the necessary qualifications to workplace practices for a period of\u00a0eighteen (18) months<\/strong>. In addition, the graduates will develop competencies in the Data Science environment, to increase their employment prospects.<\/p>\n
Skills and Abilities<\/u><\/strong><\/p>\n
\u00b7 Strong analytical, problem-solving, and critical thinking skills<\/p>\n
\u00b7 Excellent communication and interpersonal skills<\/p>\n
\u00b7 Ability to work effectively in a team-oriented environment<\/p>\n
\u00b7 Eagerness to learn and grow within the Master Data Steward space<\/p>\n
Qualifications and Experience:<\/u><\/strong><\/p>\n
Qualifications:<\/strong><\/p>\n
\u00b7 Bachelor of Science (BSc) degree in Data Science<\/p>\n
Experience:<\/strong><\/p>\n
\u00b7 Preference will be given to South African Citizens<\/p>\n
\u00b7 0 \u2013 1 year work experience and should be a recent graduate<\/p>\n
\u00b7 Data analysis skills using Excel, SQL and reporting tools to import, analyse and report on data (preferable)<\/p>\n
Key Outputs and Accountabilities include, but are not limited to<\/u>:<\/strong><\/p>\n
\u00b7 Assist the team to design, implement and monitor the multi-functional, multi-geographical policies for Data Management and their system enablement to ensure efficiency and effectiveness\/quality of policies to meet business requirements, compliance with statutory government regulations, legal contracts, and accounting requirements to minimize liability and risk.<\/p>\n
\u00b7 Contribute to the development of strategy, which includes data collection model, entry control, quality roadmap.<\/p>\n
\u00b7 Collaborate effectively with cross-functional teams to support data-related initiatives.<\/p>\n
\u00b7 Assist with the development and facilitation of data ownership model and governance policy including selection of local \u2018data owners\u2019.<\/p>\n
\u00b7 Assist with the development and implementation of a master data management (MDM) framework.<\/p>\n
\u00b7 Aid the team in identifying strategic opportunities to enable local growth levers and associated resource allocation.<\/p>\n
\u00b7 Participate in continuous improvement efforts by identifying areas for improvement and providing recommendations.<\/p>\n
\u00b7 Continuous analysis of data, and development of relevant insights (including trends and predictive analysis) for reporting and planning purposes.<\/p>\n
\u00b7 Continuously seeking new and improved ways for data extraction and consumption by relevant stakeholders for reporting and planning.<\/p>\n
\u00b7 Understanding of available data analysis and machine learning tools to support robust and forward-thinking insight generation for reporting and planning.<\/p>\n
\u00b7 Use data science skills to mine and interpret data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering and predictive modeling, distributed computing, machine learning tools and data intuition, to analyse and interpret complex data sets for reporting and planning.<\/p>\n
\u00b7 Contribute to the consolidation of data solutions into viable end products that can be leveraged on an ongoing basis e.g. dashboards, reports etc.<\/p>\n
\u00b7 Present data analysis (trends, insights, forecasts) and findings to show tangible business impact to be derived from the data science process.<\/p>\n
\u00b7 Stay ahead of the curve on data science trends and leading practice data science tools and techniques and be able to transition to advanced methods for the continuous optimisation of a data-led environment.<\/p>\n
For More Information:<\/p>\n
Visit the Official Webpage of the CCBA Data Science Graduate Internship Program 2023<\/a><\/p>\n
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