Lead Assistant Manager-Market Growth

Job description

Job Description: As the Lead Assistant Manager, Analytics, you will drive the execution of lead generation strategies, optimizing campaigns to improve lead quality and volume. **Business Development & Presales (30%)-** - Participate in deal design & RFP solution development process. Understand the RFXs scope, EXL’s capabilities & help design winning value proposition for the customer. - Assist with creating capability /sales pitch for sales team for sales meetings. - Assist with creating impactful presentation, documents, demos, product videos & supporting material to enable solution selling & business development activities **Responsibilities: Project management & Reporting (30%)-** - Collaborate with cross-functional teams, leaders & track project progress against established timelines and budgets. Regularly provide updates to all stakeholders on status of projects. - Prepare and deliver comprehensive project reports for senior leadership. - Design and create visually appealing and informative reports, dashboards, and presentations for leadership consumption. Qualifications: 4-6 years of experience in building and managing MDM and campaign databases, reporting, and dashboards, as well as automatation of lead extraction and RFP sourcing **Education** - Bachelor’s Degree, MBA preferred **Skills** - 2-4 years of experience in a pre-sales or marketing or research role, preferably within a Health-tech company. - Demonstrated ability to understand client problems, solve complex business problems, and develop solutions /proposals that fulfill client needs - Prior Experience with Healthcare IT, claims processing, Payment Services & data analytics domain is a plus - Excellent Figma, Excel and Presentation skills required. - Excellent Secondary research skills & ability to package information in a clear, concise, and engaging manner - Excellent written and verbal communication skills - Strong interpersonal skills & stakeholder management skills - Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. - Ability to collaborate effectively with cross-functional teams & steer discussions - Diligent, Result Oriented & self-motivated mindset - Have a proactive approach towards work and demonstrate a strong sense of ownership over assigned projects