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EY
EY

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom

Senior Data Analyst_Wealth & Asset Management

职能数据分析
级别资深
地点United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

SQL

AWS

Go

Azure

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Job description: - (Senior)

IT-DA-Generic with wealth management background Required skills: -

  • 3-7 years of experience as an IT- Data Analyst role

  • Expertise in at least 1 domain –

  • Capital Markets

Financial Markets

  • Asset Classes & Products

  • Trade Life cycle

  • Collaborate with cross-functional teams including business teams, developers, and testers to translate Functional Data requirements into Technical Data requirements

  • Proficient in preparing data model diagrams, data flow diagrams, and comprehensive data management documentation, i.e. source‑to‑target mappings, transformation specs, workflow documentation, business rules, exception handling

Experience in the following areas

  • Explorative data analysis / data validation

  • Handling and processing large datasets

  • Data modelling / integration

  • Data lineage

  • Data mapping tools and techniques

  • Data analytics

  • Data profiling

  • Working knowledge of programming language like Python

  • Experienced in SQL query writing & developing complex queries across multiple tables

  • Understanding of database concepts and information models and stored procedures / functions

Hands-on experience with major industry databases like

  • Oracle

  • MS SQL Server

  • Teradata

  • MySQL

  • Snowflake

  • Working knowledge on Data Visualization & Reporting

  • Expertise in designing interactive dashboards and reports using Power BI, applying best practices in visual design, storytelling, and layout.

  • Ability to select appropriate visualizations (charts, maps, KPIs, slicers) based on data and business questions.

  • Skilled in creating user‑centric visual narratives that highlight patterns, trends, outliers, and key performance indicators.

  • Proficient in Power BI Desktop, Power BI Service, DAX, Power Query, data modelling, and publishing pipelines.

Nice to Have

  • Cloud integrations (Azure/AWS).

  • Understanding of APIs and messaging frameworks.

  • Familiarity with data governance & quality tools.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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关于EY

EY

EY

Public

EY, 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

2条评价

2.7

2条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

2.2

职业发展

3.5

管理层

1.8

25%

推荐率

优点

Opportunity to become top performer

Handle large accounts

High responsibility roles

缺点

Long hours and intense work pressure

Poor management and leadership

Burnout issues

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

面试评价

7条评价

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