Operational Finance Analyst

About Chemify

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world’s largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.

ARC, Glasgow

• Data Extraction & Automation:
  Extract and centralize data from disconnected silos across the organization.
• Develop and maintain automated reporting scripts using Python to replace manual data gathering.
• Create and manage the Master Inventory Position Report.
• Process Engineering & Production Mapping:
  Engage directly with the Production team to map out currently undocumented activity flow charts.
• Identify financial gaps, overlaps, and points of consumption.
• Identify bottlenecks and "hidden" costs within the production lifecycle.
• Establish a formal process for tracking production data where none currently exists.
• Cost Analysis & Procurement Support:
  Analyze the Cost of Goods Sold (COGS) to identify discrepancies and ongoing issues.
• Support the Procurement team in bringing reporting functions in-house as we reduce reliance on outsourced providers.
• Translate complex data sets into clean, actionable Excel dashboards for senior management.

• Experience in Operations, Supply Chain, or Data Analysis.
• Note:
  
  A formal accounting qualification (Part Qualified) is not required for this role; we value technical data skills and operational curiosity over formal finance credentials.

• Python:
  Python for data extraction, cleaning, and reporting will be advantageous.
• Advanced Excel:
  Comfortable with formulas, Pivot Tables, and data modeling.
• Platform Agnostic:
  Ability to quickly learn and navigate various software platforms to find the necessary data.

• Communication:
  Strong interpersonal skills to interview production teams and explain technical data to non-technical stakeholders.
• Problem Solving: A "detective" mindset—you enjoy finding the root cause of data discrepancies.
• Process Oriented:
  The ability to look at a chaotic workflow and visualize a structured flow chart.