ABOUT SOLENIS
Solenis is a leading global producer of specialty chemicals focused on partnering with water-intensive operations to solve complex water treatment, process improvement and hygiene challenges with advanced chemical and equipment solutions for consumer, industrial, institutional, food & beverage, and recreational pool and spa water markets.
The product portfolio of Solenis includes a broad array of water treatment chemistries, process aids, functional additives, and cleaners and disinfectants, as well as state-of-the-art monitoring and control systems. These technologies are used by customers to improve operational efficiencies, enhance product quality, protect plant assets, minimize environmental impact, and create cleaner and safer environments.
Headquartered in Wilmington, Delaware, USA, the company has 69 manufacturing facilities strategically located around the globe and employs a team of over 16,100 professionals in 130 countries across six continents. Solenis has been recognized as a Best Managed Company for 4 consecutive years and was named as 2024 Best Managed Company Gold Standard Winner.
Key Responsibilities:
1. Data Analysis & Modelling
- Analyze large and complex datasets related to inventory, demand, logistics, and supply performance.
- Use Python and/or R for statistical analysis, forecasting, regression, optimization, and other analytical models to derive actionable insights.
- Develop and maintain dashboards, reports, and visualizations using Python/R or BI tools to monitor supply chain KPIs (e.g., inventory turnover, service levels, lead times).
2. Forecasting & Optimization
- Build demand forecasting reports, trend analyses, and simulations to support planning and inventory decisions.
- Recommend optimization strategies for inventory, transportation, and operational efficiency.
3. Cross-Functional Collaboration
- Partner with procurement, operations, logistics, IT and finance teams to understand business needs and deliver analytical solutions.
- Present insights and recommendations to stakeholders in clear and actionable formats.
4. Reporting & Continuous Improvement
- Create standard and ad-hoc reports to support strategic decision-making.
- Identify opportunities for process improvements and automation using analytical techniques.
Education & Experience
* Bachelor’s or master’s degree in supply chain management, Operations Research, Industrial Engineering, Data Science, Statistics, or a related field.
* Prior experience (typically 2+ years) in supply chain analysis, operations
analytics, or a data analytics role is preferred.
Technical & Analytical Skills
- Advanced proficiency in Python and/or R — ability to use libraries/packages for data manipulation (pandas, dplyr), statistical modelling, forecasting, and data visualization.
- Strong quantitative analysis and statistical skills with experience building models and interpreting results.
- Experience with SQL, advanced Excel (pivot tables, macros), and BI tools such as Power BI or Tableau is highly desirable.
- Familiarity with supply chain software (ERP systems like SAP, Anaplan, Oracle) is a plus.
Soft Skills
- Excellent problem-solving, critical-thinking, and attention-to-detail.
- Strong communication skills to present technical insights to non-technical stakeholders.
- Ability to manage multiple priorities, work independently, and collaborate across teams.
What Success Looks Like
- You’ll automate data workflows and deliver scalable analytical solutions.
- Your Python/R models will unlock deeper insights into supply chain performance.
- Decisions across planning, procurement, and logistics will be more data-driven and efficient.
