채용
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Data Engineering & Analytics Support
The opportunity
As a Data Engineering & Analytics Support at EY, you will play a pivotal role in designing, managing, and optimizing our data infrastructure. You will be part of the Data Strategy team, contributing to the technological aspects of data infrastructure for Clients & Industries (C&I) and select EY-wide data. Your work will directly enable the business to innovate and stay ahead of the competition.
Key responsibilities
-
Solve problems with a rapid prototyping mindset and a curiosity about data.
-
Design, build, and maintain data pipelines to provide Machine Learning algorithms with quality data.
-
Develop consistent methods to extract data from various EY tools and translate it into insights.
-
Build, customize, and manage integration tools, databases, warehouses, and analytical systems.
-
Apply experience with APIs and Data sharing technologies to develop strategies for connecting and sharing data across platforms.
-
Manage data and metadata by transforming raw data to make it consumable for analysis and reporting.
-
Leverage experience with AI and Large Language Models to create summaries, insights, and optimize business processes.
-
Design and maintain data warehouses, including data lakes, data lake houses, and data marts.
-
Monitor and modify the performance and stability of connected systems as needed.
-
Ensure data security based on privacy, GDPR, and information security guidelines.
-
Translate data-driven insights into actionable decisions.
-
Use data visualization to translate statistical models into business value.
-
Uncover hidden potential by pinpointing data optimization patterns.
-
Stay aware of new and emerging technologies in the marketplace.
Skills and attributes for success
-
AI first mindset – agility for adopting new technologies and adopt AI for productivity and innovation
-
Technical knowledge and experience in data analytics and data engineering.
-
Passion for data science and related business transformation possibilities.
-
Ability to convert tactical and strategic challenges into practical opportunities.
-
Executive presence to interact with senior-level executives as a trusted advisor.
-
Strong relationship-building skills at all organizational levels.
-
Ability to identify and direct projects impacting stakeholders' focus.
-
Extensive understanding of EY processes, services, knowledge, infrastructure, technology, and resources.
-
Excellent operational efficiency, judgment, tact, and decision-making ability.
-
Strategic, proactive, creative, innovative, and collaborative mindset.
-
Adaptability and leadership in times of change.
-
Excellent written and verbal communication skills, with the ability to simplify complexity and tell compelling stories.
-
Strong project management skills, including leading workstreams across borders, sectors, functions, and service lines.
-
Ability to influence and coordinate across a multi-country, multicultural, and highly distributed organization.
Technical Expertise
-
Proficiency in SQL and Python for data manipulation and pipeline development.
-
Hands-on experience with dashboard and visualization tools (Power BI, Tableau, or Spotfire).
-
Knowledge of cloud platforms, especially Microsoft Azure and Azure Data Factory.
-
Familiarity with Alteryx (preferred but not mandatory).
-
Strong understanding of data modelling, data architecture, and performance tuning.
What we look for
We are looking for individuals who are passionate about data engineering and analytics, and who have a proven track record of delivering impactful solutions. You should be a strategic thinker, a problem solver, and a team player who can thrive in a fast-paced and dynamic environment. If you have the skills and attributes listed above, we encourage you to apply and join our team.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
EY 소개

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+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
Mid/L4
Mid/L4 · Operations Research Analyst
1,738개 리포트
$142,571
총 연봉
기본급
$136,899
주식
-
보너스
$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
뉴스 & 버즈
Five questions banks must ask to unlock tech value - EY
EY
News
·
2d ago
Five hallmarks of effective AI strategies in banking - EY
EY
News
·
2d ago
How a healthcare company tackles third-party risk with tech and data - EY
EY
News
·
2d ago
Alum sues GW, former employer alleging discrimination, defamation after graduation speech - The GW Hatchet
The GW Hatchet
News
·
2d ago



