Job Description
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 & 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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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.
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