Presales & Solution Architect - Data Analytics

4 weeks ago

india ENGRO TECHNOLOGIES L.L.C Full time

Job Title : Presales and Solution Architect - Analytics

Location : Noida

Company Overview :

Estrel.AI is a leading AI and Analytics company specializing in providing innovative solutions for the Banking, Financial Services (FS), Energy, Retail, Healthcare, Smart Cities and Government sectors. We leverage cutting-edge technology to empower our clients with data-driven insights and intelligent decision-making capabilities.

Job Description :

As a Presales and Solution Architect specializing in analytics space, you will play a crucial role in driving business by understanding customer needs, crafting tailored solutions, and effectively communicating the value proposition of our analytics products and services. Your responsibilities will include:

1. Presales Support :

- Engage with prospective clients to understand their business challenges and objectives.

- Conduct discovery sessions and requirements gathering to identify opportunities for analytics solutions.

- Collaborate with sales teams to develop compelling proposals and presentations that demonstrate the benefits of our analytics offerings.

- Conduct product demonstrations and proofs of concept to showcase the capabilities of our analytics solutions.

2. Solution Architecture :

- Design end-to-end analytics solutions that address customer requirements and deliver business value.

- Work closely with technical teams to architect scalable and robust analytics platforms.

- Define data integration strategies, data models, and analytics workflows.

- Evaluate and recommend technologies, tools, and frameworks to enhance analytics capabilities.

3. Customer Relationship Management :

- Build and maintain strong relationships with key stakeholders, including C-level executives, IT leaders, and business users.

- Act as a trusted advisor, providing expert guidance on analytics best practices, industry trends, and solution roadmap.

- Conduct regular check-ins and follow-ups to ensure customer satisfaction and identify opportunities for upselling or cross-selling.

4. Maintaining OEM and Partner Relationships :

- Manage relationships with OEMs (Original Equipment Manufacturers) and partners to leverage their technologies and offerings in our solutions.

- Collaborate with OEMs and partners to co-create integrated solutions that deliver added value to customers.

- Stay updated with OEM and partner offerings, roadmaps, and industry trends to inform solution development and customer engagements.

5. Collaboration and Knowledge Sharing :

- Collaborate with internal teams, including sales, marketing, product development, and delivery, to drive successful customer engagements.

- Share insights and lessons learned from customer interactions to improve solution offerings and sales strategies.

- Contribute to thought leadership initiatives through blogs, whitepapers, webinars, and industry events.

6. Project Delivery Transition :

- Collaborate with the project delivery team to transition from presales to implementation phase.

- Ensure a smooth handover of solution architecture and customer requirements.

- Provide ongoing support and guidance to project managers, developers, and data engineers during implementation.

Qualifications :

- Bachelor's degree in Computer Science, Engineering or related field.

- Minimum IT experience should be 8+ years and should have atleast 5 years of experience in data analytics space.

- Proven experience in presales, solution architecture or consulting roles within the analytics domain.

- Strong understanding of technologies such as data warehousing, data lakes, BI tools, data visualization, machine learning and AI.

- Proficiency in cloud platforms (e.g., SAS solutions / AWS, Azure, Google Cloud) and analytics frameworks (e.g., Hadoop, Spark, TensorFlow).

- Proficiency in DevOps.

- Excellent communication, presentation, and interpersonal skills.

- Ability to translate technical concepts into business value propositions and ROI calculations.

- Proactive, results-oriented mindset with a focus on driving customer success and revenue growth.

(ref:hirist.tech)

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