Signzy
Location
Mumbai | India
Job description
About Us Signzy
is a digital trust system. We provide identification, background checks, forgery detection and contract management systems which enable contracting in a trustable, safe, legal, and convenient manner. Our biometric user authentication system and blockchain-based digital trail ensure non-repudiation. This increases compliance and enforceability in the court of law. We consist of a tech-savvy team and are backed by investors who are enthusiastic about creating solutions with technology. Working at Signzy At Signzy we breathe software and exploit the latest technologies to create the most amazing products. We comprise a tech-savvy team and are backed by investors who are enthusiastic about creating solutions using technology. Signzy is looking for a Sales Operations. If you think you have what it takes to get the job done, this is an invitation to be a part of the future! What you’ll do: Key goal of this role is to ensure utmost accuracy and completeness of raw data and thereon provide insightful analysis of the same. Sales Data Analysis to provide insights into sales productivity, lead analysis, RCA, process gaps. CRM Data Hygiene & Compliance check to ensure data accuracy; Monitoring CRM activity; Fixing Broken Data & Clean Ups Data/ Document Collation from the team to ensure data completeness and readiness for various sales operations reports. What you’ll bring: Experience in Sales data handling, Data Analysis Good Excel & Power point skills Having CRM experience is preferred Why join us: We are inviting you to be a part of a well funded growing startup that is on a mission to create a global digital trust system with the help of technology and AI. Our mission is built alongside the pillars of respect, empathy, and appreciation for our Signzy team. We are firm believers in team effort and collaboration. At Signzy, our leaders and managers provide ample room for growth by giving equal opportunity to everyone. For more information, please visit our website: or LinkedInJob tags
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