Growth & Sales Analyst - ESG Solutions - Apprenticeship (M/F)

SESAMm SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk.  We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors. SESAMm is growing quickly, with over 90 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo. Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis.   The Growth & Sales Analyst - ESG Solutions Apprentice Role As part of SESAMm’s International Sales Team, you will support Sales Managers in optimizing our lead generation workflows and pipeline efficiency, with a strong focus on leveraging AI, automation, and data analytics to enhance business outcomes. This role is ideal for a candidate with strong business acumen and a keen interest in applying data-driven methods to modern sales strategies. You will be exposed to cutting-edge analytics and AI-driven products, engaging with high-level stakeholders (C-levels, Heads of Innovation, Data Science leads, CIOs, etc.) in Private Equity, Asset Management, Insurance, and Corporates. Occasional travel may be required. Key Activities CRM & AI-Driven Lead Generation: Research and qualify prospects using both manual and automated approaches. Implement and iterate on AI tools (e.g., agent workflows, scraping tools, enrichment APIs) to identify new leads and improve the sales funnel. Data-Driven Prospecting: Manage and segment cold and warm lead pools. Design and execute multichannel outreach campaigns (email, LinkedIn, etc.), experimenting with personalization at scale using AI-enhanced tools. Sales Analytics & Optimization: Monitor and analyze sales KPIs, propose automation pipelines (e.g., using Python, Zapier, Make, or ChatGPT agents), and recommend actionable insights to improve conversion rates and shorten sales cycles. Marketing & Market Intelligence: Contribute to market research and competitor mapping, assist in preparing targeted collateral, and collaborate with marketing to test growth loops. Support to Sales Team: Participate in key business meetings, assist in opportunity qualification, and contribute to negotiation and closing phases with tailored data inputs and intelligence. Cross-Team Collaboration: Work closely with technical teams (data scientists, engineers, researchers) to align client needs with product capabilities and enrich prospect conversations. Knowledge Sharing & Experimentation: Share best practices with the broader team, experiment with new tools (AI agents, analytics dashboards, prompt workflo...