
201 - 500 employees
🔌 API
🤖 Artificial Intelligence
🤝 B2B
API • Artificial Intelligence • B2B
Introhive is a software company specialized in providing AI-powered client intelligence solutions for large, sales-focused B2B enterprises. The company's platform automates the capture and enrichment of client data, unlocking insights into networks of relationships and activities to drive growth and collaboration. Introhive aims to increase transparency, operationalize relationships, and enhance productivity by reducing manual data entry in CRM systems, empowering firms to achieve a more connected and client-centric organization. It is highly acclaimed by industry leaders and recognized for its customer intelligence capabilities by analysts such as Gartner and Forrester.
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201 - 500 employees
🔌 API
🤖 Artificial Intelligence
🤝 B2B
API • Artificial Intelligence • B2B
Introhive is a software company specialized in providing AI-powered client intelligence solutions for large, sales-focused B2B enterprises. The company's platform automates the capture and enrichment of client data, unlocking insights into networks of relationships and activities to drive growth and collaboration. Introhive aims to increase transparency, operationalize relationships, and enhance productivity by reducing manual data entry in CRM systems, empowering firms to achieve a more connected and client-centric organization. It is highly acclaimed by industry leaders and recognized for its customer intelligence capabilities by analysts such as Gartner and Forrester.
• Conducting full lifecycle analysis, including requirements gathering, activities and design • Developing analysis and reporting capabilities, monitor performance, and identify quality control improvements • Working closely with the Principal Client Solutions Architect, Product, Support and Technical Services to build and deploy the first five use-case dashboards for new clients within their first six months to secure initial ROI • Owning the technical configuration for high-stake evaluations and expansion opportunities to prove product value before contracts are signed • Analyzing and interpreting trends or patterns in complex data sets to identify and define opportunities to improve data quality and quantity • Preparing detailed analysis and present recommendations for improvement to team members and management and work with leadership to help prioritize data improvement initiatives • Triaging incoming data investigations using standardized procedures, investigating issues, developing acceptance criteria for fixes, and evolving data quality reports with standardized health metrics • Creating a library of repeatable builds, templates, and step-by-step guides to teach the organization what success looks like, improving overall delivery speed
• Advanced SQL queries and Python scripting • Strong proficiency in data visualization and reporting tools (Tableau and PowerBI) • Practical experience with APIs, data mapping, and connecting enterprise software platforms • Exceptional attention to detail and a finisher mindset, with the urgency to move technical projects from 90% to 100% completion within 60 to 90 days • High-level client-facing skills with the ability to translate complex technical requirements into clean instructions, and ability to work closely with Solutions Architects, Product teams, and clients alike • Experience manipulating large data sets through statistical software or other methods • Highly organized with the ability to plan work independently, and maintain a high level of accuracy in a fast-paced, demanding environment to meet deadlines • Strong interpersonal, written, and verbal communication skills, with the ability to collaborate effectively across stakeholders, software developers, data engineers, and data scientists • Experience working in an agile environment within a development team or professional services team delivering customer-facing technical solutions • BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent practical work experience
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