Data, Analytics & AI

Master Data Specialist

BriefYour role

Also known as Data Steward · Master Data Analyst · Master Data Coordinator · MDM Analyst

L3 salary
Not published yetSalary figures open with the salaries section.
Upcoming dated changes
9 changes aheadNext:

See all levels

What the role does

Master Data Specialist is a role in Data, Analytics & AI. The family covers data analysis, BI, data science, statistics, GIS and master data. The core skill is master data management, and the main work is data management and governance and investment and reference data.

This is a brief profile written from the catalogue. A full profile with a day in the life, level descriptions and the effect of AI is being written.

Levels

  1. L1 Starting out 0-2 years
  2. L2 Independent 2-5 years
  3. L3 Senior or specialist 5-9 years
  4. L4 Leads a team or an area 8-14 years
  5. L5 Leads the function 12+ years
Full level descriptions and job titles

The EFO level names are the common scale; job titles differ between employers.

Levels of Master Data Specialist
LevelWhat the work looks likeTypical yearsTypical job titles
L1 Starting outLearns the job; executes defined tasks with supervision0-2Banks: Analyst, Junior Analyst, Associate (asset servicing), Trainee, GraduateAsset servicers: Junior, Specialist (entry), Officer
L2 IndependentOwns a process end to end; trains L1; first contact for the team's clients2-5Banks: Analyst / Senior Analyst, AssociateAsset servicers: Specialist, Senior Specialist, Senior Officer
L3 Senior or specialistDeep expertise; handles exceptions and change; represents the function in projects5-9Banks: Senior Associate, AVP, Assistant ManagerAsset servicers: Senior Specialist, Expert, Team Lead (small team)
L4 Leads a team or an areaManages people or a large process; owns budgets or controls; escalation point8-14Banks: VP, Manager, Senior ManagerAsset servicers: Team Lead, Manager, Head of Section
L5 Leads the functionAccountable for the function in a legal entity or region; sets priorities and standards12+Banks: Director, Executive Director, Managing Director, Head of functionAsset servicers: Head of Department, Director

Skills

The percentage is the skill's share of the role; the bars are drawn relative to the anchor skill, which is shown full.

Critical 4

The job cannot be done without these.

Important and supporting skills 17

Important 8

Needed in most positions.

Supporting 6

Help in many positions.

Useful 3

Occasionally useful.

Processes

The work the role takes part in.

What each process covers
  • Data management and governanceMainData quality, lineage, master data and analytics.
  • Investment and reference dataMainKeeping portfolio, security and price data complete and consistent.
  • Change and project deliverySupportingRunning programmes and projects: plans, budgets, requirements, testing, cutover.

Dated changes for this role

Worth knowing

Changes that touch a process this role takes part in as a secondary task.

See all 10 in the Regulatory calendar

Salary snapshot

Salary figures are not published yet

The L3 salary range for this role, with its sources, will appear here when the salaries section opens.

Certifications

Concepts to know

All 20 concepts

Neighbouring roles

Roles that need many of the same skills, by weighted skill overlap, with the skills you would need to add.

Business Intelligence Analyst

46% skill overlap

To add: Communicating data to non-technical audiences, Choosing the right metric for the question

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BI Analyst (Banking)

43% skill overlap

To add: Trade lifecycle, Communicating data to non-technical audiences, Choosing the right metric for the question

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Data Governance Analyst

40% skill overlap

To add: Descriptive statistics and distributions, Communicating data to non-technical audiences, Choosing the right metric for the question

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General Accountant

33% skill overlap

To add: Period-end close and reconciliations, Accounting fundamentals (double entry), International accounting standards (IFRS)

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Data Analyst

33% skill overlap

To add: Descriptive statistics and distributions, Communicating data to non-technical audiences, Choosing the right metric for the question

Your role

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Sources