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Analytics Solutions Architect

1 month ago

Delhi, Delhi, India estrel Full time

Job Overview

We are seeking a skilled Analytics Solutions Architect to join our team at Estrel.AI. In this role, you will play a crucial part in driving business growth by crafting tailored analytics solutions and effectively communicating their value proposition.

Key Responsibilities

  • Predelivery Support: Engage with prospective clients to understand their business challenges and objectives, conduct discovery sessions, and gather requirements to identify opportunities for analytics solutions.
  • Solution Architecture: Design end-to-end analytics solutions that address customer needs, work closely with technical teams to architect scalable platforms, define data integration strategies, and evaluate technologies to enhance analytics capabilities.
  • Customer Relationship Management: Build and maintain strong relationships with key stakeholders, act as a trusted advisor, and provide expert guidance on analytics best practices and industry trends.
  • OEM and Partner Relationships: Manage relationships with OEMs and partners to leverage their technologies in our solutions, collaborate on co-creation of integrated solutions, and stay updated with OEM and partner offerings.
  • Collaboration and Knowledge Sharing: Collaborate with internal teams to drive successful customer engagements, share insights from customer interactions, and contribute to thought leadership initiatives through blogs, whitepapers, and webinars.
  • Project Delivery Transition: Collaborate with the project delivery team to ensure a smooth handover of solution architecture and customer requirements, provide ongoing support during implementation, and facilitate communication between stakeholders.

Requirements

  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience: Minimum 8 years of IT experience, with at least 5 years in the data analytics space, and proven experience in presales, solution architecture, or consulting roles within analytics.
  • Skills: Strong understanding of data warehousing, data lakes, BI tools, data visualization, machine learning, and AI, proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and analytics frameworks (e.g., Hadoop, Spark, TensorFlow), and proficiency in DevOps.
  • Personal Qualities: Excellent communication, presentation, and interpersonal skills, ability to translate technical concepts into business value propositions, and a proactive, results-oriented mindset focused on driving customer success and revenue growth.

Salary Range: ₹30 - ₹50 Lakhs per annum based on qualifications and experience.