Job Purpose
Primary responsibilities will revolve around analyzing complex data sets, identifying patterns, and developing models to provide actionable recommendations to our stakeholders.
Responsibilities
- Data Analysis: Collect, clean, and preprocess large datasets to extract meaningful information.
- Conduct exploratory data analysis to identify trends, correlations, and patterns.
- Capacity Planning: Job includes assessing and analyzing the unit's production process, determining how to improve its system efficiency
- Create visualizations, reports and dashboards on Power BI to monitor key performance indicators.
- Use Power Automate for automation of manual processes
- Prescriptive Modeling: Develop and implement prescriptive models using statistical and machine learning techniques to generate actionable recommendations. Collaborate with cross-functional teams to understand business requirements and translate them into analytic solutions.
- Decision Support: Provide decision support by translating analytical findings into clear, actionable insights for key stakeholders. Work closely with business leaders to understand their goals and challenges, offering data-driven solutions.
- Optimization: Identify opportunities for process optimization and efficiency improvement based on data-driven insights. Implement algorithms and models to optimize business processes and resource allocation.
- Communication: Present findings and recommendations in a clear and understandable manner to both technical and non-technical stakeholders. Collaborate with team members to ensure effective communication and understanding of analytical results.
- Collaboration : Work closely with data engineers, business analysts, and other stakeholders to ensure data integrity and relevance of analytical models.
Knowledge and Experience
- Proven experience in data analysis and prescriptive modeling.
- Experience in programming languages such as Python, DAX and SQL is preferred.
- Strong understanding of statistical concepts and machine learning algorithms.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences.
- Experience with data visualization tools and techniques (Tableau, Power BI, etc.)
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
