Lead Gen - Analytics / Data Engineering - EU Experience Confidential

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Job Description

BDM / Lead Gen - Data Engineering/Analytics -EU Exp: 7+ Years Industry: Digital, IT Services, Data Domain (End-Clients): Technology, E-Commerce /Retail, BFSI, Healthcare or Manufacturing, Functional Area: Digital Solutions: DevOps, Cloud, Data, DataOps, AI/ML, Analytics, Mobility, Application Development, Testing Solutions, Location: Bangalore / EU Education- UG: Computer / IT / Electronics Graduate (BE /B Tech / BS) PG: MBA / MS is not necessary, but advantage Must Have: German Speaking Sales Strategy and Planning Account Management Data Mining & Analytics Relationship Building Data-driven Decision Making Customer Needs Analysis Team Leadership Cloud Solution selling Responsibilities: Data centric solutions/use cases like Customer 360, Data Analytics, BI Reporting/Dashboards, Data Platform, Document AI along with large Data Migration projects sold to enterprises. Develop strategic account plans aligned with client goals and company objectives. Identify opportunities for upselling and cross-selling data and analytics products and services to maximize revenue from existing clients. Stay up-to-date with the company's data and analytics products and services. Provide expert consultation to clients on how to best leverage data and analytics to drive business outcomes and achieve their goals. Coordinate the delivery of data and analytics projects for clients, ensuring projects are completed on time, within scope, and within budget. Serve as a liaison between clients and internal teams to ensure clear communication and alignment throughout the project lifecycle. Developing comprehensive account strategies aligned with both client objectives and organizational goals to maximize revenue opportunities and increase client satisfaction. Develop and maintain strong relationships with existing clients, ensuring customer onboarding, deep account mining, ensuring customer centricity and success while enhancing their satisfaction through delivering on the customer needs. Collaborated with cross-functional teams, including data scientists and analysts, to develop innovative solutions and address client needs effectively. Working closely with CXOs to understand their long-term organizational vision and their quarterly and annual business objectives and identifying value drivers,