Roles
Learning built around the job you do, from a first job with data to data leadership.
Why Learning Is Organised by Role
Most data training teaches the subject. Insyt teaches the job, because that is what decides whether any of it gets used on Monday.
Training only counts if it transfers1
Decades of research on training transfer find that what people do differently at work, not what they scored in the course, is the real measure. The closer the training is to the job, the more of it survives contact with real work.
Relevance is a design choice1
Transfer depends on three things: the learner, the workplace, and how the training is designed. Job relevance and chances to practise are the parts a course can control, so Insyt builds both in from the start.
The same word means different things
Churn is a warning sign to a manager, a definition question to an analyst and a valuation risk to a director. One generic explanation serves none of them well, so every glossary term is written for each role.
Nobody has time for the whole subject
Very few people need all of data. They need the part their job touches, in the order their job needs it, which is what a role programme gives you.
Sources: 1Baldwin, T. T. and Ford, J. K. (1988), ‘Transfer of Training: A Review and Directions for Future Research’, Personnel Psychology 41(1), 63–105, which sets out training design, trainee characteristics and the work environment as the determinants of transfer, and names job relevance and opportunities to practise among the design factors. 2Thorndike, E. L. and Woodworth, R. S. (1901) on identical elements: transfer improves as training conditions resemble the setting the skill will be used in.
Find the Role Closest to Your Job
Every programme on Insyt is written for one role, so you learn what your job actually needs and skip what it does not. Pick the role closest to yours, and the lessons, practice and glossary terms all follow from it. More roles are being written, including data engineering, data science and AI.Tell us which to write next →
What the levels mean
Each card shows where a role starts and where it takes you, for example Level 1 → 2. Roles are grouped by area, and within each area the gentlest starting point comes first. Five start at Level 1, assuming nothing, and several carry on to Level 5, including Senior Leaders, Data Architects and Data Governance Leads.How the levels work →
New to Business
Learn the fundamentals so the numbers you see at work make sense from your first day in the job.
Finance & Commercial Teams
Plan, forecast and explain the numbers behind budgets, margins and investment decisions.
Operations Teams
Plan and run day-to-day operations using service, stock, capacity and quality measures.
Business Analysts
Turn business needs into clear requirements, and use data to show what should change.
People Managers
Read team reports with confidence, set clear goals and use data in everyday decisions.
Senior Leaders
Set direction with trusted data, challenge the numbers and build a data-confident organisation.
Report Builders
Build the reports and dashboards your team relies on, in Excel or Power BI, and make them easy to trust.
Data & BI Analysts
Turn raw data into reports and dashboards that answer real business questions.
Marketing & Growth Analysts
Measure campaigns, channels and customer value to show what really drives growth.
Analytics Engineers
Clean and organise data so reports are accurate and everyone trusts the numbers.
Product Owners
Turn priorities into a clear backlog and make sure what the team delivers creates value.
Product Managers
Set product direction and use data to decide what gets built next and why.
Information Architects
Organise information and content so people and systems can find, understand and trust it.
Data Architects
Plan how an organisation’s data is stored, connected and kept secure.
Risk & Compliance Analysts
Monitor risks, controls and regulations, and show the evidence that they are working.
Data Governance Leads
Set ownership, standards and quality rules so data can be trusted across the organisation.
Data Privacy Officers
Protect personal data, handle rights requests and keep the organisation on the right side of privacy law.
New to Working with Data?
Start with Data Basics
The first skill path: eight lessons on the ideas behind every report, for anyone at Level 1.
Open Data Basics →Data & Business Glossary
657 terms, each with an explanation written for every one of the seventeen roles.
Open the glossary →The Same Idea, Told for Your Role
Take churn, the share of customers who stop buying. The definition never changes. What you should do about it does.
Build Your Confidence with Data
Start where it helps most today, and come back for the rest.