Ask any procurement leader what’s holding their team back, and “we don’t have enough data” is rarely the honest answer anymore. Most organisations are drowning in spend data, supplier records, contract terms and transaction histories. What they’re missing is someone who can turn that raw information into a decision.
That’s the real shortage — not data, but data analysts. And it’s a gap that’s costing procurement teams real money, real risk exposure, and real credibility at the leadership table.
In this post, we’ll unpack why the procurement profession is struggling to find and build data analytics talent, and why closing that gap is one of the most important moves a procurement function can make in 2026.
The Growing Demand for Data Analysts in Procurement
Procurement has changed. It’s no longer a back-office function that processes purchase orders and chases suppliers for better pricing — it’s increasingly expected to inform strategy at the highest levels of the business.
CIPS and GEP’s 2026 Global State of Procurement and Supply report captures this shift clearly. More procurement leaders now report a direct line to senior business leaders than ever before, and that number is rising sharply year on year. Procurement is also taking on responsibility for a growing share of direct spend decisions. The report’s authors make an important observation: the constraint for most organisations is no longer visibility. Businesses can already see the risks, trade-offs and opportunities in their data. What they struggle with is turning that visibility into consistent, measurable outcomes.
That’s the analyst’s job. Data doesn’t create savings, mitigate risk, or improve supplier performance on its own — a skilled analyst does, by interrogating it, modelling it, and translating it into a recommendation someone can act on. If you want the fuller case for why this capability matters, we’ve covered it in more depth in The Value of Data Analytics in Procurement and Data Analytics: Who Does It. This post focuses on a different question: why is this skill set so hard to find?
Why Is There a Shortage of Data Analysts in Procurement?
The shortage isn’t a single problem — it’s several overlapping ones. Here’s what’s actually driving it.
1. Data analytics is still a young discipline
Data analytics and data science are relatively new career paths compared to most professions procurement recruits from. University programs, TAFE courses and professional certifications have expanded quickly. But graduate numbers still haven’t caught up with demand. Finance, healthcare, retail, government and procurement are all drawing from the same shallow pool. Industry research from the US-based KDR Talent Solutions notes that analytics has spread from a handful of specialist teams into nearly every business function. That means the available talent is spread thinner in each one, and procurement is competing for the same graduates that marketing, HR and finance teams want too.
2. Procurement competes with every other department for the same people
A data analyst with strong SQL, Power BI or Python skills doesn’t need to work in procurement — they can just as easily land a role in finance, marketing or IT, often with a more established career pathway and a higher public profile. Procurement rarely wins that competition on brand alone, which means it needs to work harder to attract and retain the analysts it does find.
3. The role demands a rare hybrid skill set
A great procurement data analyst isn’t just technically capable. They also need to understand categories, contracts, supplier risk and stakeholder dynamics well enough to know which numbers actually matter. As procurement analytics platform Suplari puts it, procurement analysts have to bridge the gap between raw procurement data and actionable business strategy. That means combining technical data skills with the ability to manage complex stakeholder relationships. That combination is genuinely rare, and it takes years — not months — to develop.
4. The talent pressure is especially acute in Australia and New Zealand
This isn’t just a global trend — it’s showing up clearly in local hiring data. The CIPS Australia and New Zealand Salary Guide found that 79% of employers in the region have struggled to hire for procurement and supply roles. Communication is consistently ranked as the most in-demand skill, alongside technical capability. Separately, Morgan McKinley’s 2026 Australia Salary Guide flagged data and analytics professionals as among the hardest roles to fill in the current market. The problem isn’t a lack of applicants — it’s a mismatch between the volume of candidates and the specific, hybrid skills employers actually need. High application numbers haven’t made hiring easier. They’ve made it harder to find the right fit.
5. Procurement still fights an image problem
For a long time, procurement has been perceived — fairly or not — as a transactional, compliance-driven function rather than a strategic, data-driven one. That perception matters when data-savvy graduates are choosing where to build a career. Procurement functions that want to attract analytical talent need to actively sell the strategic, high-impact nature of the work, not assume the role will sell itself.
Why Procurement Needs Data Analysts — Not Just Data
It’s worth being precise about what’s actually missing when a procurement team lacks analytics capability. It’s rarely the data itself. Most organisations already have transaction histories, contract repositories, supplier scorecards and ERP exports. What they lack is someone who can:
- Spot patterns and anomalies in spend that a category manager, stretched across dozens of suppliers, doesn’t have time to find manually
- Build models that predict supplier risk or price movement before they become a problem
- Translate procurement data into a business case that finance and the executive team will actually act on
- Maintain consistent, trustworthy reporting instead of one-off spreadsheet exercises that don’t scale
What happens when the gap isn’t closed
Without dedicated analytics capability, procurement teams tend to fall into predictable patterns. Savings opportunities slip through the cracks because teams don’t have time to analyse the data. Supplier risks only come to light when it’s too late. And procurement’s seat at the leadership table stays precarious, because it can’t back up its recommendations with evidence. The CIPS/GEP research referenced earlier makes the stakes explicit: procurement now has the visibility it needs, but organisations that can’t convert that visibility into consistent outcomes will fall behind those that can.
The cost of relying on generalists
Many organisations respond to the shortage by asking category managers or buyers to “pick up” analytics on the side, or by leaning on static spreadsheets that quickly go out of date. This approach isn’t sustainable. It places more pressure on already-stretched staff and turns data analysis into a reactive task instead of a core part of procurement.
How Organisations Are Responding to the Procurement Data Skills Gap
There’s no single fix, but a few approaches are consistently showing up in how procurement functions are closing the gap.
Upskilling existing procurement staff. For most organisations, this is the fastest and most cost-effective path. Rather than competing in a tight external market for a small pool of specialist hires, procurement teams are investing in structured training to build analytics capability in people who already understand the category, the suppliers and the business context — and simply need the technical skills layered on top.
Hiring for hybrid potential, not just technical skill. Forward-thinking teams are increasingly recruiting procurement professionals with an aptitude for data and a willingness to learn, rather than holding out for a “unicorn” candidate who already has deep category expertise and advanced analytics skills. The technical side can be taught; commercial judgement takes longer to build.
Using AI and automation to extend capacity. Modern tools can handle a growing share of routine reporting and data preparation, freeing analysts to focus on interpretation and strategic recommendations rather than manual data wrangling. We’ve explored where this is heading in more detail in The Future of Data Analytics in Procurement — but it’s worth noting here that better tools reduce the size of the gap, they don’t eliminate the need for skilled people to direct them.
Building data literacy across the whole team, not just in one analyst. The most resilient procurement teams don’t rely on a single data specialist. They build data literacy across category managers and buyers. This ensures procurement insights inform decisions at every level, not just executive reporting.
Closing the Gap: Why Upskilling Is the Practical Starting Point
With procurement talent in short supply across Australia, New Zealand, and globally, developing existing employees is often the smartest strategy. It’s faster than recruiting and preserves valuable institutional and category knowledge. It also strengthens procurement capability across the team instead of relying on one hard-to-replace hire.
This is exactly the gap Transformed’s Procurement and Contract Management courses are designed to close. They equip procurement professionals with practical data and analytics skills to turn insights into informed decisions.
The Bottom Line
The lack of data analysts in procurement isn’t really a hiring problem — it’s a capability problem. It’s one organisations can start addressing today. Prioritising procurement training helps businesses build capability faster. It turns procurement data into a genuine competitive advantage.
Want to build this capability in your team? Explore our procurement and contract management training. Get in touch to talk about what a data-literate procurement function could look like for your organisation.