
Lead Data Analyst
3 weeks ago
PSG are proud to be partnering with an ASX listed mining services that plays a critical role in keeping goods and services moving across Australia. With a rapidly growing customer base and a focus on innovation, they are investing heavily in their data capabilities to drive smarter decisions, optimise operations, and enhance customer experience.
As their recruitment partner, we are seeking a talented and driven Lead Data Analyst to head up a small but growing analytics team. This is a unique opportunity to step into a leadership role where you'll be both hands-on with data and strategic in shaping the company's data journey.
Key Responsibilities
- Lead a team of data analysts, providing technical guidance, mentorship, and support.
- Work closely with stakeholders to understand business requirements and translate them into actionable insights.
- Develop and deliver data models, dashboards, and reports to support strategic decision-making.
- Ensure data accuracy, integrity, and consistency across all reporting platforms.
- Collaborate with IT, data engineering, and operations teams to centralise and manage large, complex datasets.
- Drive continuous improvement of data processes, governance, and analytical methodologies.
- Champion the adoption of data-driven decision-making across the organisation.
- Proven experience as a Senior or Lead Data Analyst (ideally within logistics, transport, supply chain, or a similar data-rich environment).
- Strong technical proficiency in SQL and data visualisation tools such as Power BI or Tableau.
- Experience with large datasets, cloud platforms (AWS/Azure/GCP), and modern data warehouses.
- Solid understanding of data modelling, ETL processes, and analytics best practices.
- Exceptional stakeholder management skills with the ability to communicate insights to both technical and non-technical audiences.
- Strong leadership skills with previous experience mentoring or managing analysts.
- Excellent problem-solving and critical-thinking skills.
Salary match Number of applicants Skills match
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