Candidate Profile

    Roo0319

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    About

    A data analyst, paid media and ORM specialist with a demonstrated history of working in the IT, marketing and media production industry. Skilled in digital marketing management, market research and applied digital data insights in strategic planning for media campaigns. He has experience working on brands such as Ab-Bev Coca-Cola, Absa, Colgate-Palmolive, Mondelez, and Ford. With a rich background in marketing and design, he holds an Honors Degree focused in Marketing Management from the University of KwaZulu-Natal, an IBM certificate in data analysis and a Diploma in Web Design & E-commerce (BCE London).

    Proficient in

    Power BISQLMicrosoft OfficeGoogle Marketing PlatformSalesforce Social MediaDigital StrategyTrifactaSalesforce Marketing CloudPythonSocial Listening
    International

    Yes

    Availability

    Part-time or Full-time

    Experience

    5 years

    Previous Roles

    3

    Work History

    Digital Marketing Specialist
    ORM Specialist
    Senior Data Analyst

    Key Responsibilities in Most Recent Role

    Job Title: Senior Data Analyst

    5 years
    • Working with the Dentsu team specifically the Data Refinery 3 project and responsible for semantic modeling for new data sources, managing the data dictionary, creating user manuals and guides as well as new data source analysis and research.
    • Design, develop and maintain complex data pipelines using Power BI, Python and SQL.
    • Build data ingestion systems and associated automation processes to process structured and unstructured data from various sources.
    • Optimize and fine-tune database queries and indexes to improve performance, scalability and reliability of data systems. Work History
    • Develop data quality checks and data validation routines to ensure data accuracy and integrity.
    • Work closely with business stakeholders, data scientists and machine learning engineers to ensure data availability and quality for analysis.
    • Implement and maintain ETL processes for fast and efficient data processing.
    • Develop and implement data governance policies and procedures to ensure compliance with regulatory standards.
    • Continuously explore and learn new technologies, tools, and methods in data analytics and apply them effectively to solve data processing challenges.

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