Data Analytics and Data Science Recruitment Agency
Salient is a specialist data analyst recruitment agency, helping tech companies hire high-impact data and analytics talent across Australia and APAC. From data analytics recruitment through to advanced data science recruitment, we support hiring across the full data lifecycle.
Many businesses struggle to find candidates who combine technical depth with commercial awareness, while generalist recruiters lack the networks to properly assess roles. Our dedicated team brings 15+ years of tech hiring experience, ensuring precision hires, particularly when defining roles, as outlined in our guide to ML Engineer vs Data Scientist hiring decisions.
Data and Analytics Roles We Recruit
We specialise in data analytics recruitment across the full lifecycle, from reporting and dashboards through to advanced analytics and leadership roles.
Data Analysis
We lead data analyst recruitment, placing Data Analysts, Senior Data Analysts, BI Analysts, and Reporting Analysts who turn data into actionable insights.
Data Engineering
Our data analytics recruitment team hires Data Engineers, Analytics Engineers, and ETL/ELT Developers who build scalable data infrastructure.
Data Science
We deliver expert data science recruitment, placing Data Scientists, Quantitative Analysts, and Statistical Modellers. Our network of experienced data scientist recruiters ensures access to talent that can drive predictive insights and business outcomes.
Business Intelligence
Our data analytics recruitment expertise includes BI Developers, Visualisation Specialists, and Power BI / Tableau Developers who enable data-driven decision-making.
Data Leadership
We support senior hires across Heads of Data, Analytics Managers, Chief Data Officers, and Data Governance Leads.
Industries We Place Data Talent Into
Salient supports data analytics recruitment across multiple tech-driven industries, each with distinct data challenges and hiring requirements.
SaaS and Enterprise Software
We help SaaS companies hire across data analyst recruitment and engineering functions, supporting product analytics, customer intelligence, and reporting infrastructure. The challenge is finding candidates who understand product metrics and can translate usage data into commercial outcomes. Learn more about how we support companies looking to hire SaaS talent.
FinTech
Our data science recruitment and data analytics recruitment expertise support hiring across risk modelling, fraud detection, and regulatory reporting. These roles require professionals who can operate within strict compliance frameworks, narrowing the talent pool beyond technical capability.
Startups and Scale-ups
We support startups hiring early data talent, from data analyst recruitment through to broader analytics capability. These businesses need versatile generalists who can build pipelines, dashboards and communicate insights. For more insight, explore our approach to startup recruitment.
Our Data Recruitment Process
Our data analytics recruitment process is designed to deliver high-quality hires efficiently.
1. Brief and Requirements Consultation
We assess your data maturity, tech stack, and team structure to align hiring with your business goals.
2. Candidate Sourcing and Headhunting
We engage our specialist network, including experienced data scientist recruiters, targeting passive candidates not actively applying.
3. Screening and Technical Assessment
Candidates are assessed on SQL, Python, cloud platforms, and problem-solving ability, alongside communication and commercial awareness. Our data analyst recruitment strategy goes beyond CVs.
4. Interview Coordination and Advisory
We manage interviews and provide market insights on salary expectations and candidate motivations.
5. Offer Management and Post-Hire Support
We support negotiation, onboarding, and post-placement success to ensure strong long-term outcomes.
Meet APAC’s Top Sales Recruiters
Our team features some of APAC’s top recruiters with deep roots in the regional tech community.
Yvette Midwinter (Director, Sydney)
15+ years in tech hiring and founder of Women in Tech Sales APAC
Mark Ellis (Chief of Staff, Sydney)
Specialist in partnering with VCs and growth-stage SaaS leadership teams
Francis Bandong (Associate Director, Melbourne)
Executive search specialist focused on FinTech and multinational financial services
Our Sales Recruitment Offices
Sydney
Salient Group, Sydney NSW
Level 17, International Towers Three, 300 Barangaroo Avenue, Barangaroo NSW 2000
+61 2 8005 7544
Melbourne
Salient Group, Melbourne VIC
Level 6, 440 Collins Street, Melbourne VIC 3000
+61 3 9013 4400
Hiring
Looking to hire sales professionals, tech professionals or post sales talent in Australia, Asia or the US? Our team of sales recruitment and technology recruitment specialists are here to help! Drop us a note below or on info@salientgroup.com.au and we’ll be in touch within 24 hours.
Why Australian Employers Choose Salient
Partnering with Salient Group leverages over 15 years of dedicated tech and SaaS sales recruitment expertise. Our track record is built on results:
- 15+ years in Tech and SaaS sales hiring.
- 400+ clients served across the APAC region.
- 3,000+ GTM professionals placed into high-growth roles.
- 98% 5-star client rating (Recruit Insider, 2025)
- Physical presence with offices in Sydney, Melbourne, Singapore and Tokyo.
Our reputation is reflected in the success of our partners. View our client testimonials to see how we help companies scale Australian operations.
Women in Tech Sales APAC
Salient Group founded Women in Tech Sales APAC to connect female sales leaders and professionals through mentoring, networking events, and career advocacy. This also provides us with a unique channel of talent to help you build more gender balanced teams.
Frequently Asked Questions
Q: What is the difference between a Data Scientist and a Data Analyst?
A: Data Analysts interpret data and produce reports, while Data Scientists build predictive models using advanced techniques. Hiring the wrong role can waste time and budget. For more details, read our guide to ML Engineer vs Data Scientist hiring decisions.
Q: How long does it take to hire a data professional?
A: Hiring typically takes 2–6 weeks, depending on seniority, technical requirements, and location. Niche roles may take longer. Our data analytics recruitment team assigns dedicated recruiters to each brief to reduce time-to-hire.
Q: Do you recruit for both permanent and contract data roles?
A: Yes, we place permanent, contract, and project-based professionals across data analytics recruitment and data science recruitment. Whether for long-term hires or short-term projects like data migration or dashboard builds, our approach is flexible.
