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- Tasks: Extract and automate data, map production processes, and analyse costs.
- Company: Join Chemify, a pioneering company revolutionising chemistry with AI and robotics.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on problem-solving and process improvement.
- Why this job: Be the vital link between teams and drive impactful change in chemical discovery.
- Qualifications: Experience in operations or data analysis; no formal finance qualifications needed.
The predicted salary is between 35000 - 45000 £ per year.
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.
We are looking for a tech-savvy, proactive Operational Finance Analyst to bridge the gap between our data silos and our production reality. You will be responsible for hunting down data across various platforms, automating reports using Python, and working directly with the production team to build processes where none currently exist. This isn't just a desk job; you will be the "connective tissue" between Procurement, Inventory, and Production to ensure we have a clear, accurate picture of our Cost of Goods Sold (COGS).
Location: ARC, Glasgow
Key Responsibilities:
- 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.
Education/Experience: 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.
Technical Skills:
- 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.
Soft Skills:
- 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.
Operational Finance Analyst in Glasgow employer: Chemify
Contact Detail:
Chemify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational Finance Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Chemify. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python or Excel, create a mini-project or dashboard to demonstrate your abilities. Share it during interviews to stand out!
✨Tip Number 3
Prepare for the interview by understanding Chemify’s mission and how your role as an Operational Finance Analyst fits into it. Tailor your answers to show you’re the perfect match!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Operational Finance Analyst in Glasgow
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data extraction and automation in your application. We want to see how you've used tools like Python and Excel to make sense of complex data sets, so don’t hold back!
Connect the Dots: In your written application, demonstrate how you can bridge gaps between different teams. Share examples of how you've collaborated with others to improve processes or solve problems—this is key for us at Chemify!
Be a Problem Solver: We love a good detective story! Use your application to showcase your problem-solving skills. Talk about times when you've identified issues in workflows or data discrepancies and how you tackled them.
Keep It Clear and Concise: When writing your application, clarity is crucial. Use straightforward language and structure your thoughts logically. Remember, we’re looking for someone who can translate complex data into actionable insights, so show us you can do that right from the start!
How to prepare for a job interview at Chemify
✨Know Your Data
Make sure you brush up on your data extraction and automation skills, especially with Python. Be ready to discuss how you've used these skills in past roles or projects, as this will show your technical prowess and operational curiosity.
✨Understand the Production Process
Familiarise yourself with production mapping and cost analysis. Think about how you would approach identifying bottlenecks or hidden costs in a production lifecycle. Having specific examples or scenarios in mind can really impress the interviewers.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex data in simple terms. Prepare to demonstrate your strong interpersonal skills by sharing examples of how you've successfully communicated with diverse stakeholders in the past.
✨Show Your Problem-Solving Skills
Adopt a 'detective' mindset during the interview. Be prepared to discuss how you've tackled data discrepancies or process inefficiencies before. Highlighting your analytical thinking and problem-solving abilities will resonate well with the hiring team.