Data, Analytics & AI

AI Business Analyst

BriefYour role

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

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What the role does

AI Business Analyst is a role in Data, Analytics & AI. The family covers data analysis, BI, data science, statistics, GIS and master data. The core skill is large language model applications, and the main work is AI and automation and change and project delivery.

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 AI Business Analyst
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 18

Important 9

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
  • AI and automationMainApplying machine learning, generative AI and automation to finance work.
  • Change and project deliveryMainRunning programmes and projects: plans, budgets, requirements, testing, cutover.

Dated changes for this role

See all 2 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

Neighbouring roles

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

Product Owner

47% skill overlap

To add: Prioritisation and roadmapping, Agile delivery (Scrum, Kanban), Leading without formal authority

Your role

Product Owner (Banking)

44% skill overlap

To add: Prioritisation and roadmapping, Agile delivery (Scrum, Kanban), Trade lifecycle

Your role

Business Analyst

42% skill overlap

To add: Functional analysis between business and IT, User acceptance testing coordination, Agile delivery (Scrum, Kanban)

Your role

Business Analyst (Banking)

38% skill overlap

To add: Functional analysis between business and IT, User acceptance testing coordination, Trade lifecycle

Your role

Business Analyst (Insurance)

38% skill overlap

To add: Functional analysis between business and IT, User acceptance testing coordination, Insurance regulation (Solvency II, IDD, NAIC, IRDAI)

Your role

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Sources