Responsibilities of the Role
- 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 optimize 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 Skills and Qualifications
- 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 modeling, including regression, classification, and clustering.
- Proficiency in Python, R, or similar programming languages for data analysis and modeling.
- 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.
Personal 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.
How to Apply
If your career aspirations match this opportunity, please click here to apply before 6:00pm (GMT) Wednesday, 11th December 2024.
