Senior Lead Data Analyst: Commercial Insights & Strategy

Sircel Limited (Receivers And Managers Appointed)

Sydney

Hybrid

AUD 133,000 - 147,000

Full time

48 hours ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Sircel Limited (Receivers And Managers Appointed) is seeking a Senior Lead Data Analyst to partner with the Medical division, shaping analytics strategy and delivering value. You will lead high-impact projects, translate data into actionable business insights, and drive adoption of analytics best practices across the team.

You will work with senior leaders to identify opportunities, quantify impact, and ensure decisions are informed by robust analysis.

Qualifications

Bachelor's degree in Engineering, Business, Science, or Technology related areas.
5+ years' experience in data analytics, business analytics, data science, or related field.
Experience leading end-to-end analytics initiatives delivering measurable business value.
Advanced SQL and experience with Python or R.
Experience with BI tools (Power BI or Tableau).
Experience driving adoption of analytics platforms, standards or best practices.
Experience supporting commercial, sales, marketing, or operational functions.
Exposure to Microsoft Fabric, Databricks, or modern analytics platforms.

Responsibilities

Partner with business leaders – Build trusted relationships with stakeholders across the Medical division and act as a strategic advisor on data-driven opportunities.
Identify and shape strategic initiatives – Lead discussions where analytics solutions can be applied to real business challenges and deliver measurable value.
Lead end-to-end analytics projects – Own initiatives from opportunity identification and business case development through to delivery and value realisation.
Translate complex data into business insights – Develop clear and compelling analyses, dashboards, and recommendations that support decision-making.
Apply commercial thinking – Evaluate opportunities, quantify business impact, and align priorities with strategic and financial outcomes.
Influence decision-making – Present insights and recommendations to senior leaders and non-technical stakeholders.
Develop capability across the team – Mentor colleagues, share knowledge, and contribute to the adoption of analytics best practices.