Data Architect 2 Job ID: 25-07152 Pay rate range - $60/hr. to $63/hr. on W2 Job schedule: Hybrid 4 days in office/1 day WFH Top three skill sets: Predictive modeling, Advanced Analytics, Communication/Collaboration Role & Responsibilities * Data Analysis & Insights: * Analyze large, complex datasets to identify smartphone market trends, patterns, and opportunities for Client (Sell-In, Sell-Out, Installed base, switching/churn) * Ensure the quality and integrity of data for analysis and reporting * Develop dashboards, reports, and visualizations to communicate insights to stakeholders effectively. * Perform root-cause/scenario analyses and recommend data-driven solutions. * Monitor key performance indicators (KPIs), develop targets, and suggest strategies to improve results * Predictive Modeling & Machine Learning: * Design and implement predictive models to forecast smartphone market demand (TAM, in volume and revenue) * Assess the significance and impact of individual variables (macroeconomics variables, new model launches, holidays, and others) on predictive outcomes, providing actionable insights to business stakeholders * Leverage machine learning algorithms to build robust models that optimize accuracy and scalability * Interpret and explain the contribution of key variables to predictions, helping teams understand drivers of growth or decline. * AI-Powered Automation and Process Improvement: * Identify opportunities to implement AI-driven solutions to automate manual processes and improve efficiency. * Develop and deploy machine learning models and AI tools to optimize workflows and enhance scalability. * Business Strategy & Collaboration: * Collaborate with cross-functional teams to define business problems and translate them into analytical solutions. * Provide strategic recommendations based on data analysis to improve operations, customer experience, and revenue growth. * Conduct market analysis and competitor benchmarking to support business planning. Minimum Qualifications * Bachelor's or Master's degree; preferably in data science, business analytics, computer science, statistics or a related field. * Proven experience in strategy consulting, product management, marketing, business analytics, business planning, and strategy development is preferred * Proficiency in MS excel/PowerPoint, Python, R, SAS or similar tools for data analysis and automation * Strong business ability to interpret technical findings in a business context * Excellent communication skills to present complex insights to non-technical stakeholders Preed Qualifications: * Experience in deploying AI solutions into production environments * Strong understanding of macroeconomics, with the ability to analyze and integrate economic indicators (e.g., Fed rate* inflation rate* GDP, unemployment rate) into predictive models * Demonstrated ability to connect economic trends with business insights to inform strategic decision-making * Experience in the mobile/telecom industry is highly desired __ * Job details *