Role

Data Quality Analyst

Finds data issues and sets checks so reports and models are accurate.

12 chaptersAbout 3 months15–30 min a day11 skills2 projects
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Day 1 on the Data Quality Analyst path.

What a Data Quality Analyst does

Checks and improves data in business systems so teams can trust reports, dashboards, and analytics decisions.

  • Analyze datasets to find missing values, duplicates, and inconsistent formats
  • Design data quality rules and automated checks for key tables and fields
  • Investigate root causes of bad data across sources, pipelines, and user inputs
  • Coordinate fixes with data engineers, analysts, and business teams
  • Document data definitions, validation rules, and known data limitations
  • Monitor quality metrics and alert teams when data falls below thresholds
  • Test changes to data pipelines to confirm quality checks still pass

A day in the life

  1. Review overnight quality alerts and prioritize issues by business impact
  2. Run SQL checks, profile new data, and compare results to expected patterns
  3. Meet with stakeholders to clarify definitions and agree on quality rules
  4. Create tickets, track fixes, and re-test data after changes are deployed

Tools you will use

Databases: SQLSpreadsheets: Excel, Google SheetsBI tools: Power BI, TableauData quality checks: Great ExpectationsIssue tracking: JiraNotebooks: JupyterVersion control: Git

Your plan

Chapter by chapter.

1~1 wk

See what data quality analyst work involves

StartFree
2~1 wk

Quality checks and data work

Skills
31–2 wks

Make A/B test analysis: simulated experiment to decision memo

Proof
4~1 wk

Meet people who do data quality analyst work

People
5~1 wk

Investigation and problem solving

Skills
6~1 wk

Platforms and technical tooling

Skills
7~1 wk

Privacy, ethics and risk

Skills
8~1 wk

Communication, collaboration and change

Skills
91–2 wks

Make data quality test suite and report on a public dataset

Proof
10~1 wk

Practise role interviews

Interview
11~1 wk

Choose a route into data quality analyst work

Decide
12on your timeline

Apply for roles

Apply

By the last chapter

This is what you can show.

Things you've made

A/B test analysis: simulated experiment to decision memo and Data quality test suite and report on a public dataset

Skills you can prove

11 skills, each rated on work you actually did.

People you've talked to

4 people who do the job, with a message ready for each.

Questions you can answer

20 interview questions and a mock interview, with feedback.

Credentials

6 credentials compared, so you can pick one, or decide you don't need one. None is required.

Ways in

There is more than one route.

Ways to study

  • Diploma or degree in data analytics, information systems, computer science, or statistics
  • Short courses or bootcamps in SQL, analytics, and data management
  • Quality and process training focused on testing, controls, and documentation

How people get their first job

  • Build a portfolio project that profiles a dataset and reports quality metrics
  • Apply for internships in analytics, reporting, or data operations
  • Start in roles like data analyst or business intelligence analyst and focus on quality tasks
  • Earn a practical SQL certificate and practice with real datasets and case studies
  • Volunteer to clean and validate data for a student club or nonprofit project

Life skills on this path: Networking · Job interviews · Job search

How the work is changing

What AI is doing to this role

How AI is changing this role · one of 6 tasks we track

Test data pipeline changes before release

Sped up a lot

What AI does

Automated test suites run on every deployment and flag regressions fast.

Still yours

Designing the tests and deciding what coverage is enough stays with you.

Reviewed September 2026

In the app · Premium

The rest is in the app

  • How AI affects the other 5 tasks
  • Whether this job is growing or shrinking
  • How hard the first job is to get
  • Similar roles that are easier to get into
  • Updated every month, with sources
See it in the app →

How we rate a job →

Already working

Already a Data Quality Analyst?

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Questions

Questions about this path

How long does it take to become a data quality analyst with Welica?

The path is 12 chapters, 3 months at 15 to 30 minutes a day. You can go faster or slower; the plan moves with you.

Do I need a degree?

Not always. Common routes are diploma or degree in data analytics, information systems, computer science, or statistics, short courses or bootcamps in SQL, analytics, and data management, or quality and process training focused on testing, controls, and documentation.

What is free?

Chapter 1, See what data quality analyst work involves, is free for good. Premium unlocks the rest of the path.

Start the Data Quality Analyst path.

Chapter 1 free. About 15 to 30 minutes a day.

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