Data & Analytics

As companies continue to embrace advancements in technology, data management skills are in demand more than ever – with no signs of slowing down. No matter the sector, we can help with sourcing talent in analytics and AI to optimise your business operations. Connect with us today to discuss staffing needs related to data science and business intelligence. If you are a professional in these fields considering your next move, we would also love to hear from you.

Data Specialisations

  • Data Science
  • Business Intelligence
  • Data Engineering
  • Machine Learning
  • Artificial Intelligence
  • Data Architecture
  • Analytics Strategy
  • Predictive Analytics
  • Big Data
  • Data Visualisation
  • Statistical Analysis
  • Data Governance

Key Positions We Recruit

  • Data Scientists
  • Analytics Directors
  • Data Engineers
  • BI Specialists
  • ML Engineers
  • Data Architects
  • Analytics Managers
  • Data Strategy Leaders
  • Big Data Engineers
  • Data Visualisation Experts
  • Statistical Analysts
  • Data Governance Managers

Our Data Expertise

With experience placing professionals in data and analytics roles, we know how to find candidates with the skills most needed today. We stay informed of the latest tools and algorithm changes in order to analyse experience levels, technical understanding, and those who will make the biggest impact for your business.

Recruitment Process

Given the technical nature of data and analytics recruitment, we incorporate an assessment into our staffing process. Candidates undergo a test for technical understanding, business acumen, and coding skills where necessary, as well as a review of past analytics projects. We also look for those with innovation potential and strong communication skills, particularly for senior leadership positions.

FAQs

What are the current trends in data recruitment?

As businesses seek to automate their systems and decision making, AI and machine learning roles are a high priority. Cloud analytics positions are also gaining traction, with companies looking for candidates who have experience with AWS, Google Cloud, and Azure.

What technical skills are most in demand?

In addition to cloud platforms, proficiency with programming languages such as Python, SQL, and R are sought after for statistical analysis. Data visualisation tools including Looker and Tableau can also increase a candidate’s competitiveness.

What experience is needed for senior data roles?

Leaders in data and analytics sectors have the ability to work with both engineering and executive teams to implement large-scale strategies. Senior-level roles also require advanced knowledge of software and programming languages, and a background in computer science is often needed.