Stop 01 · Data Analytics FoundationsTopics · 1/9

What Data Analysts Actually Do

In short

Someone in a meeting asks, "Why did sales drop last month?" and everyone turns to one person. That person is the analyst, and the answer had better be backed by numbers.

Data analysts turn raw data into answers to specific business questions — pulling numbers, finding patterns, and presenting conclusions that help someone else make a decision.

The jaadu studies a shop notebook through a big magnifying glass at a small counter.

Think of it like this

The kirana uncle's notebook

A smart kirana owner checks his notebook and notices Parle-G runs out every Monday. So he orders extra on Saturday. He didn't build anything fancy. He asked a question, read his records and made a better decision. That's analysis.

Watch it happen

One question, start to finish

Manager

Analyst

Database

Why did sales drop?

1/6A vague business question lands on your desk. Your first job is to make it specific.

The big ideas

What you need to know

Questions come first

Most of the job is turning "why is this bad?" into a precise question you can answer with data.

You work with existing data

Analysts mostly use data that is already collected: orders, signups, clicks, payments. You find it, clean it and read it.

Charts are for others

You make visuals so a busy person understands the answer in ten seconds, not to look clever.

The output is a decision

A great analysis ends with "so we should do X". Numbers without a recommendation often get ignored.

Save yourself the pain

Common mistakes

Oops

Jumping straight into the data before you understand the question.

Do this instead

Spend five minutes clarifying who's asking, what decision they're making and by when.

Oops

Sending a giant spreadsheet and calling it an answer.

Do this instead

Lead with the one-line answer, then one chart, then the details for anyone who wants them.

Your mission

Be the analyst for your own spending

~25 min

Quick check

A manager asks, "Is the new app feature working?" What should you do first?

Go deeper

1Read 2-3 'day in the life of a data analyst' posts from different industries.
2List the last 5 data-backed decisions a company you use probably made.
3Notice how much of the job is asking the right question, not just running a query.