Data & Business Analytics
Four weeks of structured project work at the intersection of data analysis, AI/ML applications, and business decision-making — turning quantitative findings into clear recommendations.
What you'll actually build
Every group works on one structured project brief built around a real-world business problem with a data dimension. You are not running tutorials or completing modules — you are producing a deliverable that combines quantitative analysis with a structured business recommendation.
The brief is designed to require both analytical rigour and business judgement. Data alone is not the output — the insight it generates is. Groups work through sourcing and cleaning data, building an analytical framework, surfacing the key findings, and translating those findings into a recommendation that a senior audience can act on.
The final deliverable includes a data-supported analysis and a structured recommendation narrative — produced collaboratively across four workstreams, presented live at the end of Week 4.
Align
Define the business problem, identify data sources, agree on the analytical approach and workstream split.
Build
Source and structure the data, build the analytical framework, run quantitative analysis, test assumptions.
Converge
Synthesise findings across workstreams, identify the key insights, stress-test the logic, plan the output.
Deliver
Finalise the deliverable, build the recommendation narrative, present findings live to the full cohort.
Skills you'll be able to demonstrate
These are things you can speak to directly in an interview or on your profile after completing the program — grounded in the work you produced, not a syllabus you covered.
Data Analysis
Working with quantitative data to surface meaningful patterns — identifying what matters, contextualising what the numbers say, and separating signal from noise in a business context.
AI/ML in Business Context
Understanding how machine learning and AI tools apply to real business problems — not building models from scratch, but knowing where they fit, what they require, and how to interpret their outputs for decision-making.
Analytical Modelling
Building structured frameworks to organise and test a business hypothesis — market sizing, scenario analysis, performance benchmarking — with clear assumptions stated and tested.
Data Storytelling
Translating quantitative findings into a clear narrative a senior audience can follow and act on — structuring the logic, choosing what to show, and making the recommendation land.
Cross-Functional Collaboration
Working in a distributed group across time zones — managing async communication, coordinating workstreams, and producing a coherent shared output under a structured deadline.
Structured Recommendation
Building a defensible recommendation from data — with clear logic, stated assumptions, identified risks, and a conclusion that holds up under scrutiny from a senior audience.
This domain is built for three kinds of people
What matters is the commitment to see the project through and genuine interest in working at the intersection of data and business decisions.
Building data skills to complement business training
You have a business, finance, or economics background and want to add a quantitative layer to your profile. You understand the business context — this program gives you structured exposure to how data is applied within it.
Adding business context to an analytical skill set
You have a data, engineering, or technical background and want to develop the business framing around your analytical skills. You can work with data — this program develops how you structure the problem and communicate the output to a non-technical audience.
Targeting data-adjacent roles in business or consulting
You are heading towards analytics, data consulting, product management, or business intelligence roles and want concrete project experience to point to. Four weeks of structured applied work gives you a specific deliverable to reference in interviews.
The first group to work in this domain. A different kind of access.
Data & Business Analytics is a new domain in the Business Analyst Program. The first cohort works directly with the program founder and mentor in a small group — with more direct engagement than will be possible as the program scales. If you are considering this domain, now is the right time.
Ready to work with data and business together?
Express interest in the Business Analyst Program and indicate Data & Business Analytics as your domain preference. No payment at this stage.