Data & Insights Analyst

DATA & INSIGHTS ANALYST (Power BI)
Wednesbury based - Fully on site role (5 days per week)
£40K - £50K based on experience

Working for an ambitious organisation in the manufacturing industry, this brand new role will play a key part in the transformation of the business. As part of a strategic shift towards a more data-driven approach, the company has invested in new systems and processes to enhance efficiency, improve decision-making, and drive business performance.

The Data & Insights Analyst will play a crucial role in supporting business operations with deep data insights. This position requires a strong technical skillset and the ability to translate complex data into actionable business recommendations. The Data & Insights Analyst will work cross-functionally across procurement, inventory management, logistics, sales, and finance, optimising decision-making through advanced data analysis and reporting. Experience working in a finance function or any finance understanding would be ideal.

Responsibilities Included:

• Analyse and interpret operational and financial data to support decision-making across procurement, inventory, logistics, and sales.
• Develop and maintain interactive dashboards and reports (Excel, Power BI, SQL, Business Central) to provide insights into business performance and key trends.
• Identify patterns in large datasets, delivering actionable recommendations to optimise processes.
• Ensure data integrity, consistency, and compliance with internal policies and regulations.
• Assist in forecasting, budgeting, and business planning by providing accurate and timely data insights.

In this role you will join a small IT / Finance team and be the sole data person, so must be comfortable with this.

Skills needed:

• Proven experience in a data analyst role, ideally within supply chain, wholesale, and B2B environments.
• Strong proficiency in Excel (PivotTables, VLOOKUP, data modelling), Power BI, and SQL.
• Experience working with Business Central systems (or similar).
• Excellent analytical and problem-solving skills, with the ability to interpret complex datasets.
• Strong communication skills, able to explain insights to non-technical stakeholders.

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