Process

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Location

Paris

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Salary

40k€ / year + BSPCE

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XP

Junior (1 - 2+)

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At Freqens, our mission is to bring greater transparency to B2B purchasing. We empower professional buyers to identify optimal prices for goods and services through our benchmarking technology, ensuring they always buy under the best conditions.

Context

After raising €3M from prestigious investors (Seedcamp, Kima, Sequoia, Motier VC, etc.), Freqens launched its beta product in July. To support our operations, we are developing an internal app designed to help agents extract meaningful information from invoices and contracts, such as pricing conditions or product properties.

We are seeking a Strategy & Operations Manager with an engineering background who is passionate about data analysis and process optimization. The ideal candidate will possess strong technical skills coupled with analytical capabilities to solve complex problems. Your goal will be to help build a best-in-class document extractor that enables benchmarking a wide variety of products and services by extracting comparable data. You will be instrumental in developing and optimizing operational processes and work closely with our product team. You will analyze industries and extract meaningful insights to build a comprehensive benchmark framework. If you are detail-oriented, proactive, and thrive in a collaborative environment, we would love to hear from you.

Job Scope

• Build efficient and scalable processes around data extraction.
• Identify needs to enhance data extraction and convert them into product requests.
• Ensure data quality and accuracy through robust operational processes and tools.
• Anticipate and prevent issues from inaccurate data in benchmarking.
• Build dashboards, track errors, and find solutions.
• Analyze various industries and help us build a comprehensive benchmark framework for each one.
• Contribute to defining the strategy alongside the founders

Profile

• Technical Skills:
  • Proficiency in data analysis tools (e.g., SQL).
  • Understanding of data extracting.
• Analytical Skills:
  • Excellent problem-solving skills for complex issues based on data
  • Ability to dive deep into various industries
• Interpersonal and Organizational Skills:
  • Excellent communication and interpersonal skills.
  • Strong organizational skills and attention to detail.
  • Self-motivated and able to manage multiple tasks simultaneously.