Job Description

Responsibilities

Data Analysis: Collect, clean, and preprocess large datasets to extract meaningful information.
Conduct exploratory data analysis to identify trends, correlations, and patterns.
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 or R 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.

Data Analyst