Analytics Lead, Data Analytics & Modeling

HandsOn Technical Leadership

• Design build and maintain scalable data models datasets and analytical solutions with a focus on correctness performance and reusability.

• Write review and own productionquality SQL and Python code across data pipelines transformations and analytical workflows.

• Serve as a technical lead on complex projectsdefining approach driving design decisions and ensuring highquality execution.

• Partner closely with data engineering and platform teams to influence data architecture modeling standards and tooling.

• Ensure analytics solutions are built on trusted wellgoverned and sustainable data foundations.

Analytics & Solution Delivery

• Lead the delivery of highimpact dashboards metrics and analytical products that support strategic and operational decisionmaking.

• Translate ambiguous business problems into structured analytical approaches data models and technical solutions.

• Apply advanced analytical techniques (e.g. statistical analysis predictive modeling machine learning where appropriate) to identify trends risks and opportunities.

• Drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort.

• Own outcomes for key deliverables ensuring timelines quality and business impact are met.

Project Leadership & Mentorship

• Lead analytics workstreams across multiple concurrent initiatives coordinating across stakeholders and ensuring alignment to business priorities.

• Mentor and support junior analysts through code reviews design discussions and handson coaching.

• Promote best practices in data modeling coding standards and analytical rigor across the team.

• Act as a bridge between business stakeholders and technical teams ensuring solutions are both businessrelevant and technically sound.

• Contribute to shaping analytics priorities and roadmaps balancing nearterm delivery with longterm data quality and scalability.

Qualifications:

• 4 years of experience in data analytics data engineering or related technical roles with strong handson delivery.

• Proven experience leading complex analytics or data initiatives as an individual contributor.

• Strong experience designing scalable data models (e.g. dimensional semantic or analytical models).

• Advanced proficiency in SQL and Python with experience maintaining complex analytical codebases.

• Experience partnering closely with data engineering teams on data pipelines architecture and data platforms.

• Deep understanding of analytics and BI concepts with experience using tools such as Power BI Tableau Looker or similar.

• Strong ability to translate ambiguous business problems into wellstructured technical solutions.

• Excellent communication skills with the ability to clearly explain technical concepts to both technical and nontechnical audiences.

Preferred Experience:

• Experience mentoring analysts in a technical lead or informal leadership capacity.

• Familiarity with modern data platforms (e.g. cloud data warehouses transformation frameworks orchestration tools).

• Experience operating in complex enterprise or regulated environments.

• Background in financial services wealth management or advisorfocused businesses.

Special Factors

Sponsorship

About Vanguard

At Vanguard we dont just have a missionwere on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling in-person learning collaboration and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.