Join our dynamic team as an Analytics & AI Engineer, a pivotal role supporting executives and business leaders with advanced analytics, AI-driven insights, and comprehensive enterprise reporting. You will be instrumental in defining our analytics strategy and fostering data-driven decision-making across diverse sectors including Manufacturing, Quality, Supply Chain, Sales, Service, Marketing, Finance, HR, and Connected Vehicle Operations.

Leverage cutting-edge tools such as Tableau, Amazon Redshift, and Python, alongside modern AI technologies and analytics practices. Your contributions will involve developing sophisticated dashboards, executive scorecards, accurate forecasting models, intuitive self-service analytics solutions, and impactful AI-driven insights designed to enhance business performance and optimize operational efficiency.

Key responsibilities include designing, developing, and maintaining robust enterprise Tableau dashboards, executive scorecards, and KPI frameworks. You will collaborate directly with executives and business leaders to establish strategic metrics, reporting standards, and performance measurement systems. Building and optimizing Redshift-based analytical data models, semantic layers, and governed reporting datasets is crucial.

Develop reusable Tableau data sources, certified datasets, and standardized KPI definitions. Create predictive analytics, anomaly detection, and forecasting models using Python to deliver AI-driven decision support. Analyze complex data from manufacturing, connected vehicles, sales, finance, and other areas to uncover business opportunities and drive operational improvements. Evaluate and implement Generative AI, conversational analytics, and AI-assisted reporting capabilities.

Drive Tableau governance, dashboard standards, user adoption, and self-service analytics enablement. Partner with Data Platform and Data Engineering teams to refine reporting architectures and data consumption layers. Ultimately, you will deliver compelling executive presentations and analytical insights that significantly influence organizational strategy.

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

Proficiency in developing executive dashboards, KPI frameworks, and self-service analytics solutions using Tableau and Redshift is essential. Strong expertise in Amazon Redshift, SQL optimization, dimensional modeling, and analytical data architecture is a must. Advanced Tableau skills, including dashboard development, performance optimization, LOD expressions, Tableau Server/Cloud, and governance, are highly valued.

Strong Python programming skills for analytics, forecasting, machine learning, and AI applications are necessary. 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 strongly preferred. Excellent communication, stakeholder management, and business partnering skills are vital for this role.