Data Analyst (Purchasing)

BNR Ltd.; Dublin; On-site; EUR 32,971 - 40,298; Full time

Job summary

BNR Industrial Supplies Limited is seeking a Data Analyst (Purchasing) to support Purchasing and Supply Chain. You will analyse purchasing, sales and inventory data to provide insights for procurement planning and profitability.

The role requires strong analytical skills, experience with large datasets and the ability to develop reports and dashboards for strategic business decisions. Collaboration with Purchasing, Finance, Sales and Warehouse teams is essential to improve operational efficiency.

Qualifications

• 2 years' experience in data analysis or purchasing analytics or a similar analytical role.
• Strong Excel skills including Pivot Tables, Power Query, XLOOKUP and advanced functions.
• Experience using ERP or inventory management systems for data extraction, reporting and analysis.
• Experience with Power BI, Tableau or similar BI tools preferred.
• Knowledge of SQL, Python or other data analysis tools desirable.
• Strong analytical, numerical and problem-solving skills with keen attention to detail.

Responsibilities

• Analyse purchasing, sales and inventory data to identify trends and opportunities to improve purchasing performance.
• Develop, maintain and automate management reports, dashboards and KPIs using Excel, ERP systems and BI tools.
• Monitor supplier performance by analysing lead times, pricing trends and delivery performance.
• Perform inventory analysis including stock turnover, replenishment planning and demand forecasting.
• Conduct margin, landed cost and pricing analysis across products, suppliers and categories.
• Extract, validate and reconcile data from ERP and business systems ensuring accuracy of reporting.
• Produce forecasting models and analytical reports to support purchasing strategies.
• Collaborate with Purchasing, Finance, Sales and Warehouse teams to provide data-driven insights.
• Identify opportunities to automate reporting processes and improve data quality.

Skills

Excel Pivot Tables

Power Query

XLOOKUP

Data analysis

SQL

Python

Power BI

Tableau

ERP systems

Attention to detail

Education

Data Analytics degree

Related discipline or equivalent experience

Tools

Power BI

Tableau

ERP systems

Job description

BNR Industrial Supplies Limited requires a Data Analyst (Purchasing) for its operations at Unit 516D Grants Rise, Greenogue Business Park, Rathcoole, Co. Dublin.

This is a full-time permanent role for 39 hours per week at a salary of €36635 per annum (€18.06 per hour). Salary may be higher depending on experience and will increase proportionately where additional hours are required.

We are now recruiting for a permanent full-time Data Analyst (Purchasing).

Job Description

We are seeking a detail-oriented and analytical Data Analyst (Purchasing) to support our Purchasing and Supply Chain operations. The successful candidate will analyse purchasing, sales, inventory and supplier data to provide actionable insights that improve procurement planning, stock management, supplier performance and commercial profitability. The role requires strong analytical skills, experience working with large datasets, and the ability to develop reports and dashboards that support strategic business decisions. The successful candidate will work closely with the Purchasing, Finance, Sales and Warehouse teams to enhance operational efficiency through data-driven decision making.

Responsibilities

• Analyse purchasing, sales and inventory data to identify trends, demand patterns and opportunities to improve purchasing performance.
• Develop, maintain and automate management reports, dashboards and key performance indicators using Excel, ERP systems and business intelligence tools.
• Monitor supplier performance by analysing lead times, pricing trends, purchase accuracy and delivery performance to support procurement decisions.
• Perform inventory analysis including stock turnover, replenishment planning, ageing stock and demand forecasting to optimise stock levels.
• Conduct gross margin, landed cost and pricing analysis across products, suppliers and product categories, identifying commercial risks and improvement opportunities.
• Extract, validate and reconcile data from ERP and business systems, ensuring the accuracy and integrity of purchasing and inventory information.
• Produce forecasting models and analytical reports to support purchasing strategies, inventory planning and business growth initiatives.
• Collaborate with Purchasing, Finance, Sales and Warehouse teams by providing data-driven insights and recommendations to improve operational performance.
• Identify opportunities to automate reporting processes and improve data quality through the effective use of analytical tools and technologies.
• Ensure compliance with company data governance procedures while maintaining accurate purchasing and commercial reporting records.

Key Requirements

• Minimum of 2 years' experience in data analysis, business analytics, purchasing analytics or a similar analytical role.
• Strong proficiency in Microsoft Excel, including Pivot Tables, Power Query, XLOOKUP and advanced analytical functions.
• Experience using ERP or inventory management systems for data extraction, reporting and analysis.
• Experience with Power BI, Tableau or similar business intelligence and data visualisation software would be an advantage.
• Knowledge of SQL, Python or other data analysis tools would be desirable.
• Strong analytical, numerical and problem-solving skills with excellent attention to detail.
• Professional working level of English required.
• Ability to communicate analytical findings clearly and work collaboratively with cross-functional business teams.

Career Level

Experienced

Candidate Requirements

Minimum experience required:

2 years

Minimum Qualification:

Degree or equivalent qualification in Data Analytics, Business Analytics, Business Information Systems, Supply Chain Management, Statistics, Computer Science or a related discipline preferred. Equivalent relevant industry experience will also be considered.

Pay: €36,635.00 per year

Work Location: In person