Data & Analytics Recruitment That Builds Capability

Clicks recruits across data engineering, analytics, business intelligence, data architecture and AI. 

This includes Data Engineers, Data Analysts, Data Scientists, BI Developers, Data Architects, Data Modellers, Data Governance Specialists and Analytics Managers. 

We help organisations recruit the people needed to collect, manage, analyse and make better use of their data, whether that’s one specialist or a team supporting a larger data transformation program.

These roles work with data in different ways. 

Data Engineers build and maintain the systems that collect, process and make data available. Data Analysts examine information to identify trends, answer business questions and support decisions. 

Data Scientists use statistical methods, modelling and, where relevant, machine learning to investigate more complex problems and make predictions. 

There can be overlap, but understanding the outcomes you need helps determine which skills to recruit. 

Yes. We recruit BI Developers, Reporting Analysts, Data Warehouse Specialists and other professionals who help organisations turn data into information people can use. 

This includes developing dashboards, improving reporting processes, building data models and working with stakeholders to understand what information they need. 

Our consultants assess both technical capability and business understanding. A good BI specialist needs to know the tools, but also how to present information that supports better decisions.

Yes. Moving away from legacy data systems, consolidating platforms or improving data quality often requires a mix of technical skills. 

We recruit Data Architects, Data Engineers, Data Modellers, ETL Specialists and other professionals involved in data migration, integration and platform modernisation. 

Before recruiting, we work with employers to understand their existing systems, target platforms and project requirements. That helps us identify candidates with experience relevant to the work, rather than relying on technology keywords alone.

It depends on what you’re trying to achieve with AI. 

Some organisations need specialists who can build and train machine learning models. Others need data engineers, analysts or technical leaders who can integrate AI into existing systems and business processes. 

Practical experience matters. Look at the problems candidates have worked on, how they’ve handled data quality and how they’ve evaluated results. 

We help employers distinguish between AI expertise and broader data capability so they’re recruiting for the work that needs to be done.

Yes. We’ve worked with organisations across government, healthcare, financial services and other sectors where data security, privacy and regulatory requirements are important. 

These environments can require more than strong technical skills. Candidates may also need experience with data governance, access controls, regulatory reporting and complex system integration. 

Our consultants work with employers to understand these requirements and identify data professionals who have operated in similar environments.

Technical skills are important, but employers also want to understand what you’ve achieved with them. 

Rather than simply listing platforms and tools, explain the problems you’ve solved. That might include improving data quality, automating reporting, building data pipelines or helping a business make better decisions. 

Be clear about your role, the technologies involved and the outcome. 

If you’re looking for your next opportunity, our Data & Analytics recruiters can help you understand where your experience fits in the current market.