Lead Assistant Manager-Market Growth

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

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.

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