Supply Chain Data Analyst

As a Supply Chain Analyst at Solenis, you will play a crucial role in analyzing and optimizing supply chain processes to drive efficiency and effectiveness. Solenis is a global leader in specialty chemicals, dedicated to providing advanced solutions for water treatment, process improvement, and hygiene challenges across various industries. With a vast product portfolio and cutting-edge technologies, Solenis aims to improve operational efficiencies, enhance product quality, and create cleaner and safer environments.

Key Responsibilities:

• **Data Analysis & Modelling**:
• Analyze large and complex datasets related to inventory, demand, logistics, and supply performance.
• Utilize 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 such as inventory turnover, service levels, and lead times.
• **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.
• **Cross-Functional Collaboration**:
• Collaborate 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.
• **Reporting & Continuous Improvement**:
• Create standard and ad-hoc reports to support strategic decision-making.
• Identify opportunities for process improvements and automation using analytical techniques.

Qualification Required:

• **Education & Experience**:
• Bachelors or masters 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, with the ability to use libraries/packages for data manipulation, statistical modelling, forecasting, and data visualization.
• Strong quantitative analysis and statistical skills, including experience building models and interpreting results.
• Experience with SQL, advanced Excel, 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.

At Solenis, success as a Supply Chain Analyst means automating data workflows, delivering scalable analytical solutions, and unlocking deeper insights into supply chain performance. Your contributions will drive data-driven and efficient decisions across planning, procurement, and logistics, ultimately enhancing overall operational effectiveness. As a Supply Chain Analyst at Solenis, you will play a crucial role in analyzing and optimizing supply chain processes to drive efficiency and effectiveness. Solenis is a global leader in specialty chemicals, dedicated to providing advanced solutions for water treatment, process improvement, and hygiene challenges across various industries. With a vast product portfolio and cutting-edge technologies, Solenis aims to improve operational efficiencies, enhance product quality, and create cleaner and safer environments.

Key Responsibilities:

• **Data Analysis & Modelling**:
• Analyze large and complex datasets related to inventory, demand, logistics, and supply performance.
• Utilize 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 such as inventory turnover, service levels, and lead times.
• **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.
• **Cross-Functional Collaboration**:
• Collaborate 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.
• **Reporting & Continuous Improvement**:
• Create standard and ad-hoc reports to support strategic decision-making.
• Identify opportunities for process improvements and automation using analytical techniques.

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