Data Analyst

Company Overview

Imagine Everything. Build the Future with Hexion.

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

Your Future Starts Here.

If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.

Anything is possible when you imagine everything.

About the Role

We’re looking for a Data Analyst who knows how to turn messy, real-world data into clarity and direction.

You will work at the intersection of data, product, and algorithms, helping the team understand system behavior, validate decisions, and uncover opportunities for improvement. This role is critical in bridging raw production data and actionable insights that drive both model development and business impact.

If you enjoy digging into noisy datasets, asking the right questions, and influencing decisions with data, you’ll fit right in.

Job Responsibilities

Analyze large-scale sensor, production, and system data to identify patterns, trends, and anomalies
Define, track, and interpret KPIs related to system performance, model behavior, and business outcomes
Support model development by exploring data, validating assumptions, and generating insights
Build dashboards and reports to monitor real-time system behavior and long-term trends
Investigate issues in production systems and perform root cause analysis
Work closely with data scientists, engineers, and product stakeholders to translate data into decisions
Ensure data quality, consistency, and reliability across different sources
Communicate findings clearly to both technical and non-technical audiences
Minimum Qualifications

B.Sc. in Statistics, Mathematics, Industrial Engineering, Computer Science, or a related field
5+ years of experience in a Data Analyst or similar role
Strong SQL skills, with experience querying large-scale data (preferably with Trino or similar engines)
Hands-on experience with PySpark for data processing and analysis
Experience working with modern data lake architectures (e.g., Iceberg, Parquet)
Proficiency in Python (Pandas, NumPy)
Experience using AI-assisted tools (LLMs, copilots, etc.) to accelerate analysis and exploration
Solid understanding of statistics and data analysis techniques
Experience working with real-world, messy, or time-series data
Strong analytical thinking and problem-solving skills
Ability to work independently and drive insights from ambiguous data
Preferred Qualifications

Familiarity with distributed query engines and large-scale data processing
Experience with time-series analysis or anomaly detection
Comfort working in fast-paced environments with evolving data and priorities