Lead Assistant Manager-Market Growth
Skills
About the role
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
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