As an Inside Sales Representative at Pegasus Knowledge Solutions, Inc. (PKSI), your main responsibility will be supporting the Field Sales Team in selling PKSI products and services to both new and existing customers. Throughout the Sales Process, you will play a crucial role in Identifying Prospects, Qualifying Opportunities, and providing all-round Sales Support until Closure. Additionally, you will collaborate with other functional teams within PKSI to position and leverage sales opportunities effectively in the Advanced Analytics space. Your key responsibilities will include: - Prospecting and building a Sales Pipeline through Outbound Calling and E-Mail Campaigns. - Enhancing the database by researching new suspects, referring to databases available online, and reading industry trade and tech publications. - Qualifying all sales leads, allocating them appropriately, and driving leads through the sales process by initiating Conference Calls and Face-to-Face appointments with the Field Sales Team. - Identifying top targets, understanding key business needs, and conducting preliminary qualification for potential Business Opportunities. - Working closely with the Field Sales Team on specific Opportunities and coordinating all necessary sales resources for each Opportunity. - Coordinating multiple sales resources across the entire sales process, from lead identification to post-sales support. - Adopting a consultative-selling approach by learning about potential customers" Business, Budgets, and Timelines. - Engaging with customers to understand short-term and long-term business needs, and maintaining expert status through newsletters, email updates, and tweets to the customer database. - Meeting and exceeding Monthly and Quarterly Targets as advised by the Sales Head. - Being aware of each marketing initiative and aligning work towards Corporate Objectives. Education, Experience, and Skills required: - 6+ years of relevant experience working towards measurable targets. - Bachelor's Degree in Business, Statistics, Engineering, or MIS. - Experience in selling SAAS products. - Excellent written and verbal communication skills in English. - Willingness to work at US timings (Night Shift). - Ability to thrive in a fast-paced environment. Preferences: - Fundamental knowledge of Data Warehouse, Business Intelligence, and Advanced Analytics. - Highly motivated and self-driven individuals. - Experience with CRM tools and a track record of metrics-based performance.,
You should have 6-8 years of experience in installing and supporting a SAS 9.3 environment on RedHat Linux. Your responsibilities will include configuring the SAS analytics software stack on-premise for both modeling/development team use and within client networks. It would be beneficial to have knowledge of installing and supporting the SAS environment on the cloud. Familiarity with SAS Base, Enterprise Guide, and Enterprise Miner is preferred. Additionally, you should have secondary skills in Java, including Core Java, ODBC/JDBC, Hibernate, Spring/Struts, and basic SQL knowledge.,