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 Job description:
The job description for this Senior Data Analyst position is to create impactful executive dashboards that support the organization's strategic decision-making by focusing on data visualisation, analytics, and storytelling. You will primarily work with data analytics and visualisation tools, with additional exposure to artificial intelligence (AI) and machine learning (ML) initiatives in collaboration with other teams.The client details are a well-known, semi-government enterprise that is renowned for its large-scale operations and crucial role in the development of the national economy. The company is renowned for its dedication to innovation, its use of cutting-edge technology, and its implementation of data-driven decision-making across its extensive infrastructure. Data Visualisation & Storytelling (70%): Create, design, and manage executive dashboards using Microsoft Power BI to turn complex datasets into understandable.Create data models that are specific to the needs of different departments, such as finance, human resources, procurement, and so on. These models should include supplier data and other important indicators. Work together with the digital and ERP teams to fix any problems with data quality, guarantee data correctness, and cross-check data availability.To assist stakeholders in understanding trends, KPIs, and strategic insights, spearhead data storytelling initiatives.50% of the focus is on project and delivery management. Oversee and plan assigned data visualization projects' schedules, deliverables, and stakeholder communications.(30%) AI & Machine Learning: Work with AI/ML teams to investigate and apply machine learning models and advanced analytics utilizing Azure OpenAI and associated technologies.Profile: Computer science bachelor's degree. statistics, data science, or a similar discipline.five years or more of relevant expertise in analytics, data visualization, or a related field.knowledge of business data, preferably from big organizations or customer-focused sectors.Proficiency in SQL for data analysis and modeling, as well as familiarity with data modeling tools (Dataiku recommended).proficiency with creating dashboards and visualizing data with Microsoft Power BI.fundamental knowledge of AI/ML principles and familiarity working with AI-focused teams.Offer of EmploymentCompetitive perks and pay packageexposure to artificial intelligence and sophisticated analytics in a dynamic, semi-government setting
Skills:
Proficiency with Dataiku and Power BI Preferred Candidate Career Level Management

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Michael Page
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