If you’re trying to build or benchmark the technical skills required for a business analyst role, the challenge isn’t finding a list. It’s working out which skills actually matter on a real project, and which ones you need to develop first. I’ve been doing BA work for 25 years across government, utilities, health, education, and enterprise environments, and the honest answer is that the technical skill set is broader than most job descriptions suggest. It’s also more learnable than people think.
This article works through the core technical skill areas one by one, explains what they mean in practice, and includes a real example from a project where the skill set was genuinely tested. If you want to assess where your current gaps sit before going further, the Business Analyst Core Skills article is a useful starting point alongside this one.
Requirements Elicitation and Documentation
Elicitation is the skill of drawing out what stakeholders actually need, as opposed to what they initially say they want. In practice, that means being comfortable running structured interviews, facilitated workshops, and focus groups, and then translating what you heard into something precise and usable. The output matters as much as the conversation. Poorly documented requirements cause more project failures than almost anything else I have seen.
The documentation side covers use cases, user stories, process flows, and functional specifications. Each format has a context where it works well and a context where it doesn’t. User stories suit iterative delivery. Functional specifications suit regulated environments where sign-off is formal. Knowing which to reach for, and why, is part of the technical skill itself.
If you want to sharpen your elicitation questioning technique, Requirements Elicitation Questions for Business Analysts gives you a structured approach to take into your next session.
Process Modelling and Improvement
Being able to model a business process is one of the most transferable technical skills in the BA toolkit. I use flowcharts for simple linear processes, swimlane diagrams where I need to show handoffs between teams or systems, and BPMN notation for anything that needs to be formally reviewed or handed to a development team for automation. Each format communicates something slightly different, and choosing the wrong one creates confusion rather than clarity.
Process modelling becomes genuinely powerful when you combine it with data. If I can show a bottleneck on a diagram and support it with volume and timing data, the conversation with stakeholders moves from opinion to evidence. That’s when decisions get made.
Here’s a comparison of the three most common process modelling formats and where each one fits best:
| Format | Best used when | Limitation |
|---|---|---|
| Flowchart | The process is simple and linear with few decision points | Doesn’t show ownership or system boundaries well |
| Swimlane diagram | Multiple teams or systems are involved and handoffs matter | Can get visually cluttered with complex processes |
| BPMN | Formal modelling is required for development or compliance purposes | Requires stakeholders and reviewers to be familiar with the notation |
Data Analysis Skills
Data analysis is where a lot of BAs feel uncertain about their technical credibility, and I understand that. Early in my career I avoided SQL because it felt like developer territory. That was a mistake I corrected when I joined a health sector project and realised I couldn’t interrogate the data I was being given without being able to query it myself.
The practical data skills you need as a BA are:
- Spreadsheet proficiency: Being able to sort, filter, pivot, and summarise data in Excel or Google Sheets is non-negotiable on most projects. Stakeholders will hand you data exports and expect insight from them.
- SQL fundamentals: You don’t need to write complex joins from scratch, but being able to query a database to extract and filter records gives you independence from developers when you need to validate data or investigate anomalies. The article Is SQL Required for Business Analysts? covers this in more detail.
- Statistical awareness: Understanding averages, distributions, and trends well enough to spot when a number is being presented misleadingly is a real skill. You don’t need to be a statistician, but you do need to ask the right questions about the data in front of you.
- Data visualisation: Tools like Tableau, Power BI, or even well-structured charts in a spreadsheet help you present findings in a way that stakeholders can act on. The format you choose changes how the message lands.
Solution Evaluation and Validation
Evaluating potential solutions against documented requirements is one of the moments where technical and analytical skills come together most visibly. I’ve worked on projects where the preferred solution was selected before I arrived, and my job was effectively to validate a decision that had already been made. That’s a position worth recognising early, because it changes your approach.
The techniques that matter most here are test case development, user acceptance testing support, and risk analysis. Test cases let you define, in advance, what “working correctly” looks like against each requirement. Risk analysis helps you surface the conditions under which a solution might fail or underdeliver, so the project can account for those before go-live rather than after.
The Solution Assessment Criteria article goes into more depth on how to structure an objective evaluation when you need to make a formal recommendation.
Architecture and Design Awareness
I want to be precise about what this skill area means in practice, because it’s often misunderstood. As a BA, you are not expected to design systems. You are expected to understand enough about how systems are designed that you can have an informed conversation with architects and developers, ask sensible questions, and catch it when a proposed solution doesn’t actually fit the requirements.
This includes a working knowledge of object-oriented concepts, understanding the difference between on-premise and cloud-hosted solutions, and recognising common enterprise architecture patterns. When I’ve been in technical design sessions without this awareness, I’ve either had to take things on faith or slow the meeting down to ask for explanations that should have been obvious to me. Neither is a good position to be in.
A Worked Example: When the Technical Skills Were All Tested at Once
On a utilities project I worked on, Organisation B was replacing a legacy field management system. I was brought in mid-project, after the initial requirements had been signed off but before detailed design had started. Within the first week, it was clear the signed-off requirements were too vague to build from. They described what the business wanted to achieve but not what the system needed to do.
I ran a series of workshops to re-elicit requirements at a functional level. The friction came from the operations manager, who felt that re-doing requirements implied the original work had been poor, and that this would delay the project. I had to navigate that carefully. I reframed the work as “adding the technical detail the developers need” rather than “redoing requirements,” which was accurate and less threatening.
I built swimlane diagrams for the core field dispatch process, which surfaced three handoff points that had not been captured in the original documentation at all. I then ran SQL queries against the existing system’s database to validate the volume assumptions the business case was built on. Two of the assumptions were significantly off. That finding had to be escalated, which delayed the project by three weeks. The operations manager was frustrated. The project sponsor was ultimately relieved, because discovering the error at design stage was far less costly than discovering it at go-live.
By the time I handed over the revised requirements pack, it included functional specifications, a traceability matrix, updated process models, and a risk log that called out four technical risks the original assessment had missed. Every one of the skill areas in this article was used in that project, and none of them were used in isolation.
Comparing Technical Skill Demands Across BA Contexts
The technical skills required for a business analyst vary depending on the type of environment you’re working in. This table gives a rough guide to where emphasis shifts:
| Context | Highest demand skills | Lower demand skills |
|---|---|---|
| Agile software delivery | User stories, acceptance criteria, backlog refinement | Formal process modelling, architecture documentation |
| Government / regulated sector | Formal requirements documentation, traceability, risk analysis | Rapid prototyping, lightweight documentation |
| Data or BI-focused projects | SQL, data visualisation, statistical awareness | Use case modelling, UX requirements |
| Enterprise system implementation | Process modelling, solution evaluation, architecture awareness | Bespoke development skills, coding knowledge |
Building Your Technical Skills Deliberately
The most effective BAs I have worked alongside didn’t wait for a project to force them to learn something. They identified the gaps in their technical toolkit and closed them proactively. If you want a structured way to approach that, the Business Analyst Skill Gaps article covers how to assess what’s missing and prioritise what to work on next.
The key is to build technical skills in context. Reading about SQL is far less effective than querying a dataset from your current project. Watching a process modelling tutorial is far less effective than drawing a swimlane diagram for a real process you’re trying to document this week.
Technical skill as a business analyst isn’t about knowing everything. It’s about knowing enough to be credible with technical teams, independent enough to interrogate data without asking a developer to do it for you, and precise enough in your documentation that what gets built actually matches what was needed. That combination, built deliberately over time, is what separates analysts who are genuinely useful on complex projects from those who are still waiting for someone to tell them what to write down.
Frequently asked questions
What technical skills does a business analyst need?
The core technical skills required for a business analyst include requirements elicitation and documentation, process modelling, data analysis, solution evaluation, and a working knowledge of system architecture. The emphasis varies depending on whether you are working in agile delivery, regulated environments, or data-heavy projects. Building these skills in context, on real work, is more effective than studying them in isolation.
Does a business analyst need to know SQL?
SQL is not always mandatory, but it is highly valuable. Being able to query a database gives you independence when validating data, investigating anomalies, or checking whether system outputs match expectations. Many experienced BAs treat SQL as a practical capability rather than a developer skill.
What process modelling techniques should a business analyst know?
The most widely used are flowcharts for simple processes, swimlane diagrams for multi-team or multi-system processes, and BPMN for formal modelling that will be reviewed by technical teams. Knowing when to use each format is as important as knowing how to draw them.
How much technical knowledge does a business analyst need?
You do not need to be able to build or code solutions, but you need enough technical awareness to have credible conversations with developers and architects. This means understanding how systems are structured, being able to read technical documentation, and recognising when a proposed solution does not actually fit the requirements.
How do I improve my technical skills as a business analyst?
The most effective approach is to build skills on live work rather than in abstract study. Use your current project to practise SQL queries, draw process models for real workflows, and write test cases for requirements you have already documented. A structured skill gap assessment can help you prioritise which area to focus on first.
Try Ash, Your Virtual BA
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Further reading
- Skills Every Business Analysis Professional Needs | Analyst Catalyst Blog
- Top 7 Soft Skills for Business Analysis Professionals | Analyst Catalyst Blog
Written by Sam Cordes, founder of the Business Analyst’s Toolkit.