Data Analyst

Job Description Job Purpose We are looking for a passionate Data Analyst to support the Operations Analytics department at ICE. The successful candidate will play a crucial role in extracting actionable insights from large datasets to guide strategic decision making within the organization. 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 units 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. Schedule This role offers work from home flexibility of up to 1 days per week.