Data & Analytics

Our Data & Analytics division

Our Data & Analytics specialist have spend years building deep connections in their market. Whether you’re a client or candidate, they are always open for confidential chat about salaries, market insights and career advice. You can learn more about them and their specialist areas, find their contact info, and a link to their reviews below.


Curious about data on competitive salaries, industry trends, the employment market and so forth? You can access our Salary Guide through the button below.

Joseph Lee

Joseph Lee

Practice Lead – Data & Analytics

Joseph has been recruiting for Data & Analytics professionals since 2016 and has had the privilege of being a trusted advisor to both his clients and candidates.

He is recognised in the market for his accountability and tenacity. His clients engage him when they’re hiring because he is results driven and communicates with transparency.

Joseph has built trust with an extensive network of candidates and they use him exclusively when they’re looking for a change in their careers.

Specialist areas include:

• Data Architects
• Data Governance
• Data Migration
• ETL Developers
• BI Analysts/Developers
• Data & Reporting Analysts (Power BI, Tableau, Looker, Qlikview/Qlik Sense)
• Data Engineers
• DataOps Engineers
• Machine Learning/ML Engineers
• Data Scientists
• BI Managers, Data & Analytics Managers, Head of Data & Analytics

John Mak

Consultant – Data

John started his recruitment career in 2021 and has been introducing specialist BI & Data talent to Method’s key clients since 2023. 

He recruits across both contract and permanent roles, with a focus across Data Analytics, Engineering and Science.

John has a passion for building trust in relationships to be a consultant and advisor for both my clients and candidates.

Specialist areas include:

• Data Engineer
• BI Developer
• Data Analyst
• Data Modeller
• Data Scientist
• Data Architect
• Machine Learning Engineer
• AI Engineer
• Languages: Python, Scala, SQL, R
• Cloud: AWS, Azure, GCP
• Tools: DBT, Fivetran, Databricks, Talend, Informatica, Matillion, Data Stage, AWS Glue, Azure Data Factory
• Visualisation: Tableau, Power BI, Qlik View