Operations Data Analyst: Insights & Dashboards Lead

Elementis PLC.; Porto; On-site; EUR 42,000 - 64,000; Full time

Job summary

Elementis PLC is seeking a Data Analyst to transform complex datasets into actionable insights. You will partner with functional teams (Commercial; or Supply Chain, Procurement & Manufacturing) to deliver dashboards, reporting, and presentations that support decision-making and continuous improvement across the organisation.

You will maintain data quality, develop self-serve analytics, and contribute to projects with business stakeholders, driving data-driven decisions in a matrixed environment.

Qualifications

• Bachelor’s degree in an analytical or business-related subject is required.
• 3+ years of experience in an international manufacturing/industrial environment.
• Proven track record delivering dashboards, reports and insights.
• Experience partnering with business stakeholders and cross-functional teams.
• English fluency in written and spoken.

Responsibilities

• Partner with the supported function to translate data into insights that unlock value and improve processes.
• Produce accurate monthly management information and monitor KPIs for the function.
• Support demand planning, SKU rationalisation or sales pipeline reviews as applicable.
• Maintain Power BI dashboards and other reports for clear metric interpretation.
• Collaborate with Data Manager and Governance teams to improve data foundations and reporting processes.

Skills

Cross-functional partnering

Analytical problem-solving

Project management

Communication

Education

Bachelor’s degree in analytics or business

Tools

Power BI

Excel

Python

SQL

SharePoint

Job description

Elementis PLC is seeking a Data Analyst to transform complex datasets into actionable insights. You will partner with functional teams (Commercial; or Supply Chain, Procurement & Manufacturing) to deliver dashboards, reporting, and presentations that support decision-making and continuous improvement across the organisation.

You will maintain data quality, develop self-serve analytics, and contribute to projects with business stakeholders, driving data-driven decisions in a matrixed environment.