EQS Data and AI Analyst
About the Role
Location
Mexico Queretaro Santiago de Queretaro
Country: MEXICO State/Province/County: Ciudad de Mexico City: Mexico City
Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy, S. de de Organization EVP Global Functions Business Unit EHS, Quality Governance & Security Full / Part time Full-time Experience Level Mid-level Professional A Snapshot of Your Day
Your day starts by reviewing global EQS data flows and signals—not just to report what happened, but to understand what might happen next. You begin by validating automated data pipelines and Power BI semantic models, ensuring data accuracy across Safety, Environmental, and Sustainability domains. From there, you shift into AI‑driven analytics, refining predictive models, experimenting with new features, and validating outputs against real-world EQS scenarios. Midday, you collaborate with stakeholders across Business Areas and IT to translate evolving EQS needs into scalable solutions. This could include designing a RAG‑enabled assistant to support reporting queries, enhancing anomaly detection models, or automating manual reporting processes using AI and advanced analytics. You continuously evaluate where AI can reduce effort, increase insight quality, and strengthen risk visibility. Throughout the day, you balance hands‑on development with strategic thinking—ensuring that everything you build is reusable, governed, and aligned to enterprise standards. You close your day by sharing knowledge—whether refining documentation, enabling colleagues through training, or shaping the next generation of EQS analytics capabilities.
How You’ll Make an Impact You will play a key role in transforming EQS reporting from descriptive to predictive and intelligence‑driven. By embedding AI into our analytics ecosystem,



you will help the organization move beyond historical reporting toward forward‑looking insights that support proactive risk management and decision‑making. Your work will improve the speed, quality, and scalability of EQS reporting—reducing manual effort, strengthening audit readiness, and enabling consistent global insights. You will also act as a technical reference point, elevating the capability of the entire team by introducing modern analytics approaches, reusable standards, and AI‑enabled solutions. What You Bring Bachelor’s degree in data Analytics, Information Systems, Engineering, Computer Science, Environmental Sciences, or a related field. Strong experience in data analytics, reporting, digital transformation, or business intelligence roles. Experience working with analytics and visualization tools (, Power BI) and large, structured datasets. Strong analytical thinking with the ability to translate complex data into clear, actionable insights. Effective communication skills to collaborate with technical and non-technical stakeholders across integral teams. Experience in EHS, Quality, Security, sustainability, or non-financial reporting environments is an advantage.
Note: You bring deep expertise at the intersection of Power BI, AI, and data engineering, with the ability to design and deliver enterprise‑grade analytics solutions. You are comfortable working across the full data lifecycle—from pipeline design and semantic modeling to advanced AI applications such as machine learning models, LLMs, RAG architectures, and prompt engineering. Beyond technical capability, you bring strong judgment. You understand when AI adds value—and when it doesn’t. You can translate complex EQS and business needs into meaningful analytics, challenge assumptions constructively, and design solutions that are both scalable and practical. You communicate confidently, think critically, and naturally enable others by sharing knowledge, defining standards, and building reusable assets.

📌 Eqs data and ai analyst (Baja California)
🏢 Siemens Energy
📍 Baja California