Skills for BI Developers

Before you post the ad, check who already works in SQL, DAX and Power BI. The data modelling and ETL skills a BI developer needs often sit with analysts nobody in HR can see.

For HR, L&D and hiring managers: write the BI developer job spec and set skill levels. For BI developers: see what the next level asks.

Core skill categories for bi developers

SQL and query performance
If 1 engineer writes all the SQL, you have key-person risk. Find who else can.
- T-SQL
- PostgreSQL
- window functions
- CTEs
- stored procedures
- indexing strategy
- query plan analysis
- Oracle Database SQL Certified Associate
Data modelling and warehousing
Numbers that disagree in the board pack start here. Find who can model them.
- dimensional modelling
- star and snowflake schemas
- Kimball methodology
- slowly changing dimensions
- Snowflake
- Google BigQuery
- Amazon Redshift
- Azure Synapse Analytics
- SnowPro Core Certification
- Google Cloud Professional Data Engineer
Data integration and ETL/ELT
Stale dashboards usually start with a broken pipeline. See who can fix it.
- SSIS
- Azure Data Factory
- dbt
- Apache Airflow
- Fivetran
- Power Query (M)
- data quality testing
- dbt Analytics Engineering Certification
- Microsoft Certified: Fabric Data Engineer Associate
- AWS Certified Data Engineer – Associate
Semantic models and metrics
Take 1 revenue figure to the board, not 3. Find who can define it.
- DAX
- tabular models (SSAS)
- LookML
- calculation groups
- Tabular Editor
- row-level security
- metric definitions
- Microsoft Certified: Fabric Analytics Engineer Associate
Dashboards and visualisation
A slow report goes unread. Find who can tune it.
- Power BI
- Tableau
- Qlik Sense
- Looker
- report performance tuning
- visual design principles
- accessibility in reports
- Microsoft Certified: Power BI Data Analyst Associate
- Tableau Certified Data Analyst
- Qlik Sense Business Analyst Qualification
Platforms, versioning and governance
Modern BI needs the same discipline as software.
- Microsoft Fabric
- Databricks
- Git
- Azure DevOps
- Power BI deployment pipelines
- Python (pandas)
- Microsoft Purview
- data cataloguing
- Databricks Certified Data Analyst Associate

Soft skills that matter for bi developers

Requirements gatheringMost failed dashboards answer the wrong question. Good BI developers ask what decision the report is for before they build it.
Problem-solvingNumbers that don't match are daily BI work. Tracing them back through pipelines and models takes patient, structured thinking.
Empathy for the people using the reportA finance director and a warehouse lead need different views of the same data. Build for the person, not the dataset.
Data storytellingA chart changes a decision only when someone can say in 2 sentences what it shows.
Stakeholder managementBI developers serve many teams at once. They need to set priorities, say no clearly and warn people when data is late.
Business acumenKnowing how the business makes money lets a BI developer catch a wrong number before the board does.

What separates junior and senior bi developers

Junior

Builds reports in Power BI or Tableau on a data model someone else designed.
Writes working SQL and simple DAX measures, and fixes issues with guidance.
Delivers to clearly defined requirements.
Maintains existing ETL jobs and spots when a refresh fails.

Senior

Designs the dimensional model and semantic layer other people build on.
Tunes query and report speed, and sets standards for version control, testing and deployment.
Turns a vague business question into requirements, and says so when a dashboard is the wrong answer.
Owns metric definitions and governance, and coaches juniors on modelling and DAX.

Mapping bi developer skills across your organisation

A framework says what a BI developer should know. It can't say who on your team actually knows it. That usually lives in a spreadsheet that is out of date a month after HR sends it round. MuchSkills began as that spreadsheet: a Google Sheets skills matrix team members filled in themselves. The lesson stuck. When people own their profiles, the data follows.

A worked example. Finance wants its Tableau reporting moved to Power BI next quarter. Filter for DAX at level 6+, a current Power BI Data Analyst certification and interest in migration work. You see who can lead the move and who could be upskilled for it, before anyone writes a job ad. Your BI team can then push the skills data into Power BI through the open API.

Höegh Autoliners (1,400+ employees, SAP SuccessFactors): profile completion reached 90%+, against an industry baseline of 20–40% inside enterprise HR platforms. Skills declared per employee rose from 3–5 to 54.

TBS: 'Cut workforce planning time by 60%.' Intellect EU: 'Eliminated spreadsheet chaos across 200+ employees.'

Frequently asked questions

What skills does a BI developer need?

A BI developer needs strong SQL, data modelling and warehousing, ETL or ELT pipelines, semantic modelling with DAX or LookML, and dashboard building in Power BI, Tableau or Qlik Sense. Git and cloud platforms such as Microsoft Fabric or Snowflake matter more each year. The soft skills that make the work useful are requirements gathering, problem-solving and data storytelling.

What are the most in-demand BI developer skills?

The BI developer skills employers ask for most are Power BI with DAX, advanced SQL and dimensional modelling on a cloud warehouse such as Snowflake, BigQuery or Microsoft Fabric. dbt and Git-based deployment are rising as BI moves closer to analytics engineering. Turning a business question into clear requirements is always in demand, and it is the hardest to hire for.

Which certifications should a BI developer have?

The most recognised BI developer certifications are Microsoft Certified: Power BI Data Analyst Associate and Fabric Analytics Engineer Associate for Microsoft stacks, and Tableau Certified Data Analyst for Tableau. SnowPro Core and the dbt Analytics Engineering Certification cover the warehouse and transformation layers. Pick the ones that match your stack and track expiry dates so they don't lapse.

What is the difference between a BI developer and a data analyst?

A BI developer builds and maintains the data models, pipelines and dashboards. A data analyst uses that data to answer specific business questions. Both use SQL and visualisation. BI developers go deeper on modelling, ETL, performance and governance. Data analysts go deeper on statistics, analysis and presenting findings to decision-makers.

How do I build a skills matrix for BI developers?

To build a skills matrix for BI developers, list the 6 skill categories and the tools your stack uses. Have each developer rate their own proficiency, and have managers review it. Track certifications with expiry dates, then compare the results with the roles and projects you need. It stays current when developers keep their own profiles. A central spreadsheet goes stale.

Map BI developer skills across your organisation

See who has which skills, at what level, and where the gaps are — in one live view on top of your HRIS.

Skills matrix

Skills for BI Developers

Core skill categories for bi developers

SQL and query performance

Data modelling and warehousing

Data integration and ETL/ELT

Semantic models and metrics

Dashboards and visualisation

Platforms, versioning and governance