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Business Intelligence Development Manager
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10 hours ago8 views
General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
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Data Scientist Qualification & ExperienceMinimumBachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.35 years of experience in data science, analytics, or a related field.Proven experience with machine learning, predictive modelling, and statistical analysis.Strong proficiency in Python, R, SQL, and data visualisation tools (e.g., Power BI, Tableau).Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is advantageous.Familiar with version control systems (e.g., Git) and collaborative development practices. AdvantageousMasters degree in Data Science, Computer Science, Statistics, Mathematics, or related field.Experience in healthcare, retail, or insurance data ecosystems Organogram Objective/PurposeThe Data Scientist is responsible for leveraging advanced analytics, machine learning, and statistical modelling to extract actionable insights from complex datasets. This role supports strategic decision-making, drives innovation, and enhances operational efficiency across the organisation. Key Performance AreasAdvanced Data Analysis & Modelling Develop, implement, and maintain predictive and prescriptive models using machine learning algorithms to forecast business outcomes, enabling proactive decision-making and strategic planning.Analyse large and complex datasets using statistical techniques to uncover patterns and trends, driving data-informed insights and operational improvements.Monitor model performance using validation metrics and retrain models as needed to maintain accuracy, ensuring continued relevance and reliability of outputs.Translate business challenges into analytical problems using structured frameworks, enabling the development of targeted and effective data solutions.Data Engineering & ManagementCollaborate with data engineers to build robust data pipelines and ensure data integrity.Maintain and optimize data storage solutions for scalability and performance.Identify opportunities for automation in reporting and analysis using scripting and APIs, increasing efficiency, and reducing turnaround time.Document methodologies, assumptions, and outcomes in a clear and reproducible format to support transparency, governance, and knowledge sharing. Business Intelligence & Strategic InsightsTranslate complex data into actionable insights that support strategic decision-making.Identify trends,
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