Key Responsibilities
Understand Company Offerings:
Learn, understand, and effectively present our data engineering and analytics solutions to potential and existing clients.
Sales Involvement:
Perform sales activities and contribute to company sales targets.
Tailor Solutions:
Analyze customer requirements, design customized data solutions and scope comprehensive services that address their specific business needs.
Use Case Discovery:
Lead business use case discovery by working closely with business users at all levels.
Solution Development:
Collaborate with the internal delivery team to create and demonstrate compelling proof of concepts (POCs) and solution designs in response to RFPs or client requests.
Client Relationship Management:
Build and nurture long-term relationships with clients, ensuring a seamless transition from sales to delivery.
Consulting and Advisory:
Serve as a trusted advisor, helping clients navigate digital transformations and data-driven decision-making processes to solve complex business problems.
Stay Updated:
Keep abreast of industry trends and the latest technologies in data and AI to maintain competitive advantages.
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; Requirements:- Educational Background:
Bachelor's degree in IT or a data-related field. Certification in DAMA (Data Management) or Data Science is a big advantage
Experience:
4-7 years of experience in consulting or a customer-facing data solutions role, preferably with enterprise clients in the financial services or insurance industry.
Technical Expertise:
Strong knowledge of data analytics, cloud data platforms, data architecture, data governance and integration. Experience with data lakes, data warehouses, and BI tools is essential.
Client-Facing Experience:
Proven ability to deliver persuasive and articulate product demonstrations, POCs, and solutions to executive stakeholders.
Collaboration Skills:
Team player with strong networking attributes, proactive, results-focused, and a self-starter with the ability to execute.
Communication Skills:
Exceptional written and verbal communication skills with the ability to deliver convincing presentations to both technical and non-technical audiences.
Problem Solving:
Strong analytical mindset with experience in addressing complex business challenges through data-driven solutions.