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Senior EDM Data Analyst - Wealth & Asset Management

EY

Senior EDM Data Analyst - Wealth & Asset Management

EY

·

On-site

·

Full-time

·

6d ago

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-EDM 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

  • Hands‑on experience working with at least one of the following Enterprise Data Management (EDM) or Master Data Management (MDM) platforms :

  • Markit EDM (iDM/Enterprise Data Management)

  • Eagle Data Management / Eagle PACE

  • Golden Source EDM

  • 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 techniques

  • Data analytics

  • Data profiling

  • Working knowledge of programming language like Python

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

  • 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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About EY

EY

EY

Public

A provider of assurance, tax, transaction, and advisory services.

10,001+

Employees

London

Headquarters

Reviews

3.8

15 reviews

Work Life Balance

2.5

Compensation

3.8

Culture

3.0

Career

3.5

Management

3.0

65%

Recommend to a Friend

Pros

Competitive compensation packages

Good career advancement opportunities

Strong brand recognition

Cons

Work-related stress and pressure

Limited negotiation flexibility on offers

Uncertain job security during economic downturns

Salary Ranges

31,254 data points

Mid/L4

Mid/L4 · Operations Research Analyst

1,738 reports

$142,571

total / year

Base

$136,899

Stock

-

Bonus

$5,673

$100,128

$203,912

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

57%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

Common Questions

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit