Data Strategy Lead

3 days ago


Sydney, New South Wales, Australia beBeeDataAnalytics Full time $160,000 - $200,000

About Us

We are a dynamic team in the APAC region, playing a vital role in supporting regional functions through comprehensive reporting and data-driven insights.

We are undergoing an exciting transformation, where we are enhancing our data capabilities and embracing Machine Learning and Predictive Analytics to better support our business objectives and drive growth.

As a Senior Data Analyst, you will lead analytics efforts and projects with autonomy, from defining scope and approach to delivering actionable insights and business recommendations.

You will be a thought leader in your domain, creating advanced insights that extend into adjacent areas of expertise and designing best practices that elevate analytics across the organisation.

This role demands a strategic mindset and hands-on technical expertise.

Responsibilities:

  • Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team skills.
  • Lead analytics efforts and projects independently, including defining scope and approach.
  • Manage projects to ensure timely delivery within scope and quality standards.
  • Collaborate with stakeholders to enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement.
  • Develop and maintain data models and products that support advanced analytics and reporting requirements.
  • Aim to uncover meaningful insights and deliver actionable business recommendations.
  • Drive and develop new dashboards when new products are launched.
  • Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability.
  • Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
  • Consolidate data accurately from various sources to conduct analysis and present findings & insights.
  • Write technical and release documentation including specifications, testing strategies, and performance benchmarks.
  • Collaborate with leadership teams to understand data needs and define analytics requirements.
  • Identify and make recommendations for improvement to existing processes and procedures.
  • Endorse and advocate for the benefit of change initiatives to functional leaders.

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