招聘
About the Role
We are seeking a Business Development Executive to drive market expansion, acquire new enterprise customers, and promote our Data Services portfolio. In this role, you will be responsible for the full sales cycle from market exploration and lead generations to solution consulting, proposal development, negotiation, and closing.
This position requires strong experience in B2B technology sales, excellent communication skills, and the ability to work closely with technical teams to deliver value-driven solutions to enterprise clients.
Key Responsibilities
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Identify, target, and acquire new enterprise customers across multiple industries
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Conduct outbound prospecting: networking, industry events, cold outreach, partner channels
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Maintain and grow a strong sales pipeline with consistent opportunity flow
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Lead discovery workshops and assess customer challenges and readiness for data transformation
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Consult clients on Data Platform, Data Warehouse/Lakehouse, BI & Analytics, ETL/ELT, Data Governance, and related services
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Collaborate with technical teams (Solution Architect, Data Engineer, Delivery Manager) to develop proposals, SOWs, demos, and POCs
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Manage end‑to‑end sales cycle: prospecting → qualification → proposal → demo/POC → negotiation → closing
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Prepare proposals, pricing, and commercial documentation
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Build strong relationships with key decision makers (CXO, IT Director, Data Lead…)
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Explore upsell and cross‑sell opportunities within existing accounts
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Represent the company at conferences, events, and partner activities
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Build and maintain relationships with technology partners (Microsoft, Databricks, AWS, Google…)
What We’re Looking For
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Bachelor’s degree in business, IT, Computer Science, or related fields
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5+ years of B2B technology sales experience (IT, cloud, data, analytics)
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Proven track record in new business hunting and revenue achievement
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Strong understanding of Data Platforms, BI, ETL/ELT, and cloud technologies (Azure/AWS/GCP is a plus)
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Excellent presentation, negotiation, and communication skills
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Ability to translate business challenges into high‑level technical requirements
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Strong English communication skills
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Ability to work cross‑functionally and manage multiple opportunities simultaneously
What EY Offers
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Exposure to large-scale data, analytics, and digital transformation projects
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Opportunities for global certifications and continuous learning
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A collaborative, people-first team culture where your voice matters
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Clear career progression with a recognized global brand
EY | Building a better working world
At EY, our purpose is to build a better working world by helping organizations solve their most complex challenges. We bring together exceptional people, cutting-edge technology, and deep industry experience to deliver long-term value.
We are a technology‑driven professional services organization offering a wide range of consulting solutions across multiple domains. Our expertise spans Data & AI, Technology Transformation, Business Consulting, and industry‑specific advisory services. We help enterprises unlock value, accelerate innovation, and achieve sustainable growth through modern, scalable, and business‑centric solutions.
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关于EY

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
员工数
London
总部位置
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
3.7
企业文化
4.1
职业发展
3.8
管理层
3.2
65%
推荐给朋友
优点
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
缺点
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
薪资范围
31,254个数据点
Mid/L4
Mid/L4 · Operations Research Analyst
1,738份报告
$142,571
年薪总额
基本工资
$136,899
股票
-
奖金
$5,673
$100,128
$203,912
面试经验
7次面试
难度
3.0
/ 5
时长
14-28周
录用率
57%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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