Associate Manager- Presales at Sigmoid

<p></p> <h1>Job Description</h1> <p>Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs.</p> <h2>Key Responsibilities</h2> <ul> <li> <p><strong>Client Engagement:</strong> Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges.</p> </li> <li> <p><strong>Needs Analysis:</strong> Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions.</p> </li> <li> <p><strong>Solution Presentation:</strong> Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points.</p> </li> <li> <p><strong>Technical Expertise:</strong> Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients.</p> </li> <li> <p><strong>Collaboration:</strong> Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation.</p> </li> <li> <p><strong>Customization:</strong> Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients.</p> </li> <li> <p><strong>Competitive Analysis:</strong> Stay up to date with industry trends and competitors' offerings to effectively position our services.</p> </li> <li> <p><strong>Proposal Creation:</strong> Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs.</p> </li> <li> <p><strong>Knowledge Sharing:</strong> Keep the team informed about industry’s best practices, client feedback, and emerging trends.</p> </li> </ul> <h2>Qualifications</h2> <ul> <li> <p>Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience.</p> </li> <li> <p>Proven experience in a consulting role, preferably in data analytics.</p> </li> <li> <p>Strong understanding of data analytics technologies, tools, and methodologies.</p> </li> <li> <p>Strong exposure to Data Engineering concepts like Data Architecture, Data Pipelining etc.</p> </li> <li> <p>Excellent communication and presentation skills.</p> </li> <li> <p>Ability to translate technical concepts into non-technical language.</p> </li> <li> <p>Exceptional problem-solving and analyticalskills.</p> </li> <li> <p>Ability to work collaboratively in a fast-paced, dynamic environment.</p> </li> <li> <p>Familiarity with the CPG, BFS, and Life Sciences industry is a plus.</p> </li> <li> <p>Willingness to travel as required.</p> </li> </ul> <h2>Why Join Sigmoid?</h2> <ul> <li> <p>Be part of a dynamic and innovative team at the forefront of data analytics for large enterprises.</p> </li> <li> <p>Opportunity to work with leading enterprise accounts and shape the future of their data-driven strategies.</p> </li> <li> <p>Competitive compensation package, including performance-based incentives.</p> </li> <li> <p>Ongoing training and professional development opportunities.</p> </li> <li> <p>Collaborative and inclusive company culture.</p> </li> </ul> <p>If you are passionate about data analytics, have a knack for understanding client needs, and want to play a key role in helping large enterprises thrive in a data-driven world, we encourage you to apply for the position of Sales Consultant at Sigmoid.</p><div class="content-conclusion"><p><strong>Note:</strong></p> <blockquote class="gmail_quote"><em>By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.</em></blockquote> <p></p></div>