Data Insights Analyst

Position Summary Responsible for the development and execution of procedures for extracting data from big data platforms in a manner coincident with meaningful results. Develops and enhances complex algorithms and uses knowledge of complex mathematical and statistical methods to analyze and interpret results. Conducts research and explorative analyses to uncover potentially useful data trends which will provide strategic insight into business solutions. Runs simulations and 'what if' analyses keeping in mind the intricacies of big data platforms and their specific run time and capacity planning requirements. What you bring to the role Automation & Data Process Improvement: Use Python, SQL and other languages to automate report gathering, cleansing & sending to free up proactive resources from having to execute. Data Analysis: Analyze large datasets, from multiple sources, including sales, customer behavior, market trends, and internal operations to identify patterns, trends, and business opportunities. Insights Generation: Derive meaningful insights from data analysis and provide actionable reccomendations to key stakeholders to support data-driven decision making. Business Performance Tracking: Develop and maintain dashboards and reports to track and communicate key performance indicators (KPIs), providing timely updates on the health of the platform business. Forecasting & Predictive Analytics: Utilize statistical models and predictive analytics to forecast sales, customer demand, and other critical business metrics. Competitive Analysis: Monitor and analyze competitor performance, market trends, and industry developments to identify opportunities and threats. Collaborative Insights: Work closely with cross-functional teams, including sales, marketing, product management, and IT, to understand business requirements and provide data-driven insights to support their initiatives. #J-18808-Ljbffr