Founded in April 2004, Intelligent Debt Management (IDM Group), has established itself as South Africa’s leading and largest debt management company. IDM operates from a centralised office in Cape Town, South Africa, from which more than 350 employees service clients nationally. IDM offers comprehensive advice and a host of highly effective debt relief sol...
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Lead the development and implementation of business intelligence strategies and solutions primarily using the Microsoft BI stack including MS Fabric and MS Power BI.
Oversee the creation of reports and dashboards that provide actionable insights and drive business value.
Collaborate with Data Engineering and Data Science teams to ensure data availability, data quality, security, and scalability.
Work closely with Enterprise architects and business stakeholders to understand data requirements and deliver solutions that align with and extend the data architecture in order to meet business needs.
Promote a culture of data-driven decision-making across the organization.
Provide both personal and technical leadership and mentorship to the BI team, fostering an open culture of sharing and continuous learning and innovation.
Ensure the scalability, reliability, and performance of BI solutions.
Stay updated with the latest advancements in BI tools and technologies and apply them to improve existing processes and solutions.
Requirements:
Extensive experience in business intelligence, including report and dashboard development using SQL and Python.
Proven experience with industry standard data tools e.g. MS Power BI, SQL Management Studio.
Strong understanding of data modeling, data warehousing, and ETL processes.
Excellent problem-solving skills and attention to detail.
Strong communication and leadership abilities.
Ability to translate business requirements into BI solutions that drive business value.
More than 2 years of experience leading a team of data professionals in a financial services or call centre environment would be preferred.
Experience working collaboratively with cross-functional teams, including Data Engineering, Data Science, and Enterprise architects.
Preferred Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, Business Analytics, or a related field.
Certifications in industry standard data tools such as MS Power BI and MS Fabric.
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