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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

직무데이터 분석
경력시니어급
위치United States
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

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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EY 소개

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+

직원 수

London

본사 위치

리뷰

2개 리뷰

2.7

2개 리뷰

워라밸

2.0

보상

3.0

문화

2.2

커리어

3.5

경영진

1.8

25%

지인 추천률

장점

Opportunity to become top performer

Handle large accounts

High responsibility roles

단점

Long hours and intense work pressure

Poor management and leadership

Burnout issues

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 후기

후기 7개

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