Live eight-week career accelerator · Starts 18 August 2026

Build the analyst skill set businesses need in the AI age.

Combine business analysis, Agile, SQL, data and insight, and practical AI—then learn how to use them together to understand problems, find evidence and help organisations make better decisions.

Business analysisData & SQLPractical AI
A modern analyst bringing together business processes and data insight
One connected capabilityFrom business question to evidence-backed recommendation

Practitioner experience across

AmazonSkyTrainlineBooking.comTescoHMRCAdmiral

Why this combination matters

AI changes the tools. Strong analysts still connect the business question, the evidence and the decision.

Knowing one tool is useful. Being able to investigate a business problem, structure change, analyse the data and use AI with judgement is a more complete professional capability.

01

Understand the business

Discover the real problem, map processes, work with stakeholders and define useful requirements.

02

Find the insight

Turn questions into measures, use SQL to interrogate data and communicate what the evidence means.

03

Use AI intelligently

Work more efficiently, verify outputs and identify where AI can create responsible business value.

Built for different career starting points

Three routes into the same relevant skill set.

Entering the market

Build a credible practical foundation

Learn how analyst work is actually done and create evidence you can discuss in applications and interviews.

  • Structured cross-functional foundation
  • Applied portfolio and capstone
  • CV and interview support

Changing or cross-training

Turn existing experience into analyst capability

Connect experience from operations, projects, service, finance, technology or change to a clear analyst pathway.

  • Transferable-skills mapping
  • Business analysis and data practice
  • A stronger career-change story

Already a BA or analyst

Extend and formalise what you know

Add SQL, data storytelling and AI-enabled ways of working while strengthening gaps in your core practice.

  • Broader data and AI capability
  • More visible evidence of impact
  • Support for progression or internal mobility

Professional evidence: learners who meet the completion standard receive a Certificate of Applied Completion and reviewed Capability Passport. These are programme credentials, not an accredited qualification.

The AI-ready analyst skill stack

Learn each discipline. Practise how they work together.

The course preserves the essential foundations of business analysis and Agile, adds practical SQL and analytics, then layers AI across both everyday productivity and business opportunity.

01

Business analysis

Problem framing, stakeholders, discovery, process mapping, requirements, options, change impact and acceptance.

  • Stakeholder interviews
  • Process models
  • Requirements and UAT
02

Agile delivery

Work confidently with product owners and delivery teams from discovery through backlog, build and acceptance.

  • Scrum and Kanban concepts
  • User stories and criteria
  • Prioritisation and refinement
03

SQL, data & insight

Translate business questions into measures, queries, quality checks, findings and clear recommendations.

  • KPIs and analysis planning
  • SQL filters, groups and joins
  • Data storytelling
04

Practical AI

Use AI to improve analyst workflows and evaluate where it can create value without outsourcing judgement.

  • Research and preparation
  • Requirements and analysis support
  • Verification, privacy and controls

Evidence, not just attendance

Leave able to show how you work.

Across one realistic business case, you will move from an ambiguous problem to a supported recommendation. The result is a portfolio story with connected evidence—not a folder of disconnected exercises.

One capstoneA complete business, data and AI case
Capability PassportReviewed evidence across the skill stack
Career storyExamples ready for CVs and interviews

Your portfolio can include

  • Business problem and outcome brief
  • Stakeholder and discovery plan
  • Current and future process models
  • Requirements and Agile backlog
  • Metrics and analysis plan
  • SQL query and insight pack
  • Dashboard or visual prototype
  • Personal AI workflow playbook
  • AI opportunity assessment
  • Executive recommendation

18 August–10 October 2026

Eight weeks from foundation to applied evidence.

Week 1

The modern analyst

Role, problem framing, outcomes and relevance in the AI age.

Week 2

Discovery & process

Stakeholders, interviews, workshops and current-state models.

Week 3

Requirements & Agile

Needs, stories, acceptance criteria, backlog and UAT.

Week 4

Data literacy

KPIs, analysis planning, quality and visualisation.

Week 5

SQL foundations

Filter, calculate, group and answer business questions.

Week 6

SQL to insight

Join, compare, validate and communicate a recommendation.

Week 7

AI at work

Analyst workflows, productivity and business use cases.

Week 8

Career-ready evidence

Executive presentation, portfolio, CV and interview stories.

Support around the learning

Build capability—and make it useful for your next move.

CV & LinkedIn review

Translate responsibilities and capstone evidence into a more credible professional story.

Interview coaching

Practise competency, scenario and case questions with structured feedback.

Real-work clinics

Bring unclear requests, stakeholder situations, changing scope or analysis challenges.

Community & onward support

Stay connected for 90 days and attend two post-programme group clinics.

20+

Practitioner led

Commercial experience across business, product, data and technology.

The programme is led by a technology and data product practitioner with more than 20 years shaping customer-data products, platforms, migrations, transformation and commercial data strategy.

Experience includes employed roles at Amazon, Sky and Enterprise Rent-A-Car, and consulting work for Trainline, Specsavers, Co-op, Compare the Market, Sweaty Betty, Admiral, HMRC, Booking.com, Belron, Fiserv and Tesco.

Platforms serving 100m+ users£100m+ value opportunities shapedCross-functional leadership

Live online · UK time

Designed to work alongside a job or other commitments.

Tuesday · 7–9 pmCore concepts, examples and workplace scenarios

Thursday · 7–9 pmSQL, data, AI, capstone work and feedback

Saturday · 11 am–1 pmOptional clinic for catch-up, careers and real-work support

Your next step

Choose the level of conversation you need.

Register interest if you are ready to receive the details and next steps. If you need to talk through your background or whether the course fits your goal, request a short fit conversation.

Option 1

Register your interest

No payment is taken at this stage. We will contact you with the programme details and next step.

Option 2

Request a fit conversation

Use this if you want to discuss your experience, career goal, time commitment or whether this is the right level for you.

  • Short, practical conversation
  • No obligation to enrol
  • A straight answer about fit
Request on WhatsApp

Or email seyi.kusa@highcityconsulting.com

Questions before you decide

The practical details.

Can I join if I am new to the job market?

Yes. The programme gives you a structured foundation, realistic practice and portfolio evidence. It can strengthen applications, but it is not a substitute for the wider experience, effort and market conditions involved in securing a role.

Can I join if I am changing career?

Yes. The course helps you translate experience from operations, projects, customer service, finance, compliance, marketing, technology and other settings into credible analyst capability.

Will this help if I already work as a BA or analyst?

Yes. You can deepen SQL, data storytelling, AI-enabled ways of working and any gaps in your core BA or Agile practice, then apply them to progression or broader responsibilities.

Do I need SQL or coding experience?

No coding background is required. SQL is taught from the foundations in a supported browser lab. Spreadsheet familiarity and willingness to practise are enough to begin.

How is AI taught?

AI is applied across research, meetings, requirements, SQL support, analysis and communication. You will also learn verification, privacy and how to assess an AI business opportunity. The emphasis is judgement and useful practice—not collecting prompt tricks.

Is this an accredited qualification?

No. It is a practitioner-led career and capability accelerator. Learners who meet the completion standard receive a Certificate of Applied Completion and reviewed Capability Passport.

Will sessions be recorded?

Yes. Recordings will be available to enrolled learners through the private course portal for the period stated in the programme terms.

Can my employer pay?

Yes. High City Consulting Ltd can provide an employer-facing programme summary, learning outcomes and VAT invoice.