Business analytics
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SQL + Python + business sense
- Route in
- Typically Master of Business Administration. 1 course lead here
What the work involves
Day to day
Turning company data into decisions - building dashboards, running analyses, and telling business stakeholders what the numbers mean and what to do. The technical half is SQL and visualisation; the other half is communication.
Who this suits
Fit
People who sit between technical and commercial, comfortable with data but more interested in the decision than the model. Demand is broad because almost every function now expects evidence.
The honest reality
Read this one
The title covers a huge quality range, from genuine analysis to producing the same weekly report indefinitely. Much of the job is cleaning inconsistent data. Recommendations are frequently ignored for political reasons, which some people find deflating.
The route in, step by step
6 steps from where you are now.
A quantitative bachelor's degree Required
Commerce, economics, statistics, mathematics or engineering. Numeracy matters more than the subject label.
Learn SQL, Excel and a visualisation tool Required
SQL above all - it is the most commonly requested and most commonly missing skill in analytics hiring. Then Power BI or Tableau.
Learn statistics and Python or R Required
Distributions, hypothesis testing, regression, and enough programming to work with real data. Tools without statistics produce confident nonsense.
Take an MBA or M.Sc in analytics, or build a portfolio Required
A postgraduate qualification accelerates entry to the better roles. Demonstrable projects on real datasets are the alternative and they do work.
Work as an analyst Required
Reporting, business analysis and recommendations for a retailer, bank, consumer company or consultancy. Learning to write a recommendation in one page is a career skill in itself.
Senior analyst, data science, or analytics leadership Optional
Deeper modelling and machine learning, or leading an analytics function. Domain knowledge is what separates a senior analyst from a tool operator.
Courses that lead here
1 mapped route into this career.
The roles this becomes
2 lanes out of the same starting point.
Common questions
The ones people actually ask about this work.
What is business analytics as a career?
<p>Using data to answer business questions — sales and customer analysis, pricing, forecasting, operations and marketing effectiveness. It sits between data work and business decision-making, and the value is in framing the question properly rather than in the technique.</p>
What skills do I actually need?
<p>SQL first, always. Then Excel to a genuinely advanced level, a visualisation tool such as Power BI or Tableau, statistics well enough to know when a difference is meaningful, and increasingly Python. Employers test SQL and reasoning about a business problem far more often than they test machine learning.</p>
Do I need a specialised analytics degree?
<p>No. People enter from commerce, economics, engineering, statistics and mathematics. Analytics-branded master's programmes vary enormously in quality and several are expensive for what they teach. A portfolio of real analysis on messy data usually persuades an employer more than the certificate does.</p>
How is this different from data science?
<p>Analytics answers business questions with existing data and communicates the answer; data science more often builds predictive models. Analytics roles are more numerous, more accessible and closer to decision-makers, which is why they are frequently the better first job even for people who eventually want to do modelling.</p>
Test this against your own priorities
Pay, hours and entry route matter differently to different people. Compare this against the alternative you are actually weighing, rather than against the average.