Responsibilities

• Analyse and visualise data using Power BI to deliver actionable insights through dynamic dashboards and reports.
• Design, develop, and implement predictive models to forecast trends and outcomes using statistical and machine learning techniques.
• Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
• Perform exploratory data analysis (EDA) to uncover hidden trends, patterns, and opportunities.
• Validate and optimise predictive models for accuracy, robustness, and scalability.
•  Present findings, insights, and recommendations clearly to technical and non-technical audiences.
• Stay updated on the latest tools, trends, and methodologies in analytics and data science.

Technical Qualities

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong expertise in Power BI for building interactive dashboards and reports.
• Proven experience in predictive modelling, including regression, classification, and clustering.
• Proficiency in Python, R, or similar programming languages for data analysis and modelling.
• Familiarity with machine learning frameworks.
• Strong SQL skills for querying and managing large datasets.
• Experience with cloud platforms (e.g., Azure, AWS, GCP)
• Understanding of statistical analysis, data wrangling, and feature engineering.

Person Qualities

• Strong critical thinking and ability to solve complex problems.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive attitude towards learning and adopting new technologies.
• Detail-oriented with a strong focus on accuracy and data integrity.