At Werkie, we are passionate about connecting top talent with businesses seeking excellence. Our mission is to help our clients grow by providing them with qualified, trusted candidates who can support and strengthen their business goals. Our vision is to be the leading recruitment partner in the industry, known for our commitment to quality, integrity, and ...
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Create insightful reports and interactive dashboards using Power BI to communicate findings to stakeholders.
Compile and distribute statistical data for Financial and Retail units, ensuring accuracy and relevance.
Analyse sales and marketing data to identify trends, patterns, risks, and optimisation opportunities.
Extract, cleanse, transform, and preprocess data from multiple sources, including SQL-based databases.
Assist with database administration, performance optimisation, data security, and integrity.
Work closely with IT, Sales, Marketing, and other stakeholders to translate business objectives into data-driven solutions.
Contribute to ETL processes, data pipeline development, and improved data storage and retrieval efficiency.
Provide analytical support on ad hoc projects as required by management.
Job Requirements:
National Senior Certificate (Grade 12).
Relevant tertiary qualification in Business, Finance, Accounting, or Economics, OR a minimum of 3 years’ experience in the Credit, Banking, or Financial Services industry.
Solid understanding of data analytics concepts.
Data analytics certification OR proven experience in data analysis and visualisation within a financial environment.
Strong proficiency in Microsoft Office, particularly Excel.
Advanced experience with Power BI, Tableau, or similar data visualisation tools.
Experience with SQL and relational databases will be advantageous.
Knowledge of data engineering concepts and Python will be beneficial.
Fully bilingual in English and Afrikaans (written and verbal).
Key Characteristics:
Strong analytical and problem-solving skills.
High attention to detail with a structured, methodical approach.
Ability to communicate complex data insights to non-technical stakeholders.
Excellent time management and ability to handle multiple priorities.
Proactive, accountable, and solutions-driven mindset.
Ability to work independently and as part of a collaborative team.
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