What Certifications Do Junior Data Analyst Roles Need?
Breaking into data analytics can feel confusing. If you’re wondering exactly which certifications will actually help you land your first role, this guide breaks it down.
Do You Need Certifications to Become a Data Analyst?
You don’t need a degree in data science to become a data analyst, but you do need to prove you can work with data. Certifications and practical experience are one of the fastest ways to do that. This shows employers you understand the tools used day-to-day in the role, and gives you something concrete to put on your CV when you don’t yet have work experience in the field.
For junior roles specifically, employers are usually looking for evidence of three things: you can clean and analyse data, you can build reports or dashboards, and you can communicate findings clearly.
The right certifications map directly onto these expectations.
The Core Skills Every Junior Data Analyst Needs
Before looking at specific certifications, it helps to understand the toolkit most employers expect:
- Excel: still the most widely used tool for data analysis, from PivotTables to forecasting
- SQL: essential for querying and working with databases
- Python: increasingly requested for data cleaning, manipulation and automation
- Power BI or Tableau: for building dashboards and visualisations that stakeholders can act on
- Cloud data fundamentals: a growing number of employers want at least a basic understanding of how data is stored and managed in the cloud
Certifications That Matter:
PL-300: Microsoft Power BI Data Analyst
Power BI is one of the most commonly used business intelligence tools in the UK, particularly in finance, retail and the public sector. The PL-300 certification demonstrates you can connect to data sources, model data, build dashboards and share reports: all core tasks in a junior analyst role. It’s often the certification employers recognise most quickly on a CV.
Microsoft Azure Data Fundamentals (DP-900)
As more companies move their data infrastructure to the cloud, understanding the basics of cloud data storage and management has become a genuine hiring signal. This certification covers relational and non-relational data, along with core Azure data services, without requiring deep technical experience.
Microsoft Azure AI Fundamentals (AI-900)
With AI and machine learning increasingly built into everyday reporting and analytics tools, this certification gives junior analysts a foundational understanding of AI and ML concepts, including responsible AI principles. It’s a useful addition for candidates who want to stand out from other applicants applying for the same entry-level roles.
What About SQL, Python and Tableau?
Not every valuable skill needs a formal exam behind it. SQL, Python and Tableau are typically proven through practical project work and a portfolio rather than a single certification exam. Employers want to see that you can actually query a database, clean a messy dataset, or build a working dashboard – not just that you’ve memorised syntax. This is why structured training that combines these tools with real-world projects tends to carry more weight than certification alone.
Here’s what employers are actually expecting you to be able to do with each one:
SQL
At junior level, you should be comfortable writing queries to filter, sort and group data, join multiple tables together, and use aggregate functions to produce summary statistics. Beyond the basics, employers increasingly like to see exposure to sub-queries and simple functions, since these show you can dig into a dataset rather than just pull a flat report. SQL is often the very first practical skill hiring managers test for, because so much of a data analyst’s day-to-day work starts with getting data out of a database.
Python
You don’t need to be a software developer to use Python as a data analyst, but you do need to be confident in importing, cleaning, and manipulating data using libraries like pandas and NumPy. Being able to handle missing values, merge datasets, and produce simple visualisations with a library such as Seaborn will cover most of what’s asked of you early in your career. Some junior roles also expect a basic grasp of statistical concepts, like hypothesis testing, so you can validate whether a trend in the data is meaningful or just noise.
Tableau
Tableau is less about writing code and more about turning data into something a non-technical stakeholder can understand at a glance. Employers want to see that you can connect to a data source, build clear and accurate visualisations, and put together a dashboard that answers a specific business question – not just a chart for the sake of it. Confidence with calculated fields and basic statistical features will help you go beyond simple charts and start delivering the kind of dashboards that get used in real decision-making.
Excel
Even with tools like Power BI and Tableau in your toolkit, Excel remains a baseline expectation for almost every data analyst role. PivotTables and VLOOKUPs are the minimum. Excel is often the tool you’ll use to sense-check data before it goes anywhere else, so strong fundamentals here make everything downstream easier.
The common thread across all four is real datasets and real problems. A certificate tells an employer you’ve studied the theory; a portfolio of practical projects tells them you can actually do the job from day one.
Certifications vs Practical Experience
Certifications open doors, but they work best alongside hands-on project experience. A junior data analyst who can point to a certification and a portfolio of real projects will always stand out more than someone with paper qualifications alone.
This is why our Data Analyst career programme combines three official Microsoft certifications (PL-300, Azure Data Fundamentals and Azure AI Fundamentals) with practical training across Excel, SQL, Python and Tableau, alongside real project work you can speak reference in interviews.
Getting Started
If you’re new to data and unsure where to begin, start with Excel and SQL. These form the foundation almost every other tool builds on. From there, Power BI and the Microsoft Fundamentals certifications will give you the credentials employers are actively looking for in junior data analyst roles.
Our Data Analyst career programme is built around this exact pathway, with live instructor-led training, a 96% first-time exam pass rate, and a job guarantee once you’ve completed your certifications.
