Join our dynamic team as a Senior Associate | Data Analyst, focusing on Engineering as a Service. This role is pivotal in empowering executives and business leaders with cutting-edge analytics, AI-driven insights, and comprehensive enterprise reporting. You will be instrumental in shaping our analytics strategy and fostering data-informed decision-making across diverse operational domains including Manufacturing, Quality, Supply Chain, Sales, Service, Marketing, Finance, HR, and Connected Vehicle Operations.

Leveraging powerful tools like Tableau, Amazon Redshift, and Python, alongside advanced AI technologies and modern analytical practices, you will craft sophisticated dashboards, executive scorecards, precise forecasting models, and intuitive self-service analytics solutions. Your work will directly contribute to enhancing business performance and optimizing operational efficiency through AI-powered insights.

Design, develop, and maintain robust enterprise-level Tableau dashboards, executive scorecards, and KPI frameworks. Collaborate closely with executives and business leaders to establish strategic metrics and performance measurement standards.

Build and refine Amazon Redshift-based analytical data models, semantic layers, and governed reporting datasets. Create reusable Tableau data sources and standardized KPI definitions.

Develop advanced predictive analytics, anomaly detection, and forecasting models using Python. Analyze diverse datasets from manufacturing, connected vehicles, sales, finance, marketing, HR, and supply chain to uncover opportunities for improvement.

Drive the implementation of Generative AI, conversational analytics, and AI-assisted reporting capabilities. Champion Tableau governance, dashboard standards, and the enablement of self-service analytics.

Present executive-level findings and analytical insights to influence organizational strategy. Partner with Data Platform and Data Engineering teams to optimize reporting architectures.

A Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Engineering, Business Analytics, or a related field is required, coupled with 3-7 years of professional experience in Analytics Engineering, Business Intelligence, Data Science, or Applied AI.

Demonstrate advanced expertise in Tableau, including dashboard development, performance optimization, LOD expressions, data modeling, and Tableau Server/Cloud governance. Possess strong experience with Amazon Redshift, SQL optimization, dimensional modeling, and analytical data architecture.

Proficiency in Python programming for analytics, forecasting, machine learning, and AI applications is essential. Familiarity with Generative AI, conversational analytics, and machine learning concepts is expected.

Experience in Manufacturing, EV, Automotive, Supply Chain, Finance, Sales, Marketing, HR, or Connected Vehicle Analytics is highly preferred. Exceptional communication, stakeholder management, and business partnering skills are crucial for success in this role.