Chief Analytics Officer

About the Role

We are seeking an experienced Senior Data Analyst to lead our analytics efforts and projects. As a key member of our team, you will be responsible for defining scope and approach, delivering actionable insights, and business recommendations.

The ideal candidate will have a strong background in data analytics, excellent business facing stakeholder management skills, and the ability to effectively leverage big data platforms to maximize analytical value.

You will work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives.

Responsibilities

• Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team capabilities.
• 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.
• In a team setting, add value to conversations to develop, construct, install, test, and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support ETL and Data Visualisations processes.
• 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.

Requirements

• Masters or PhD in Data Science, Statistics, Mathematics, or a related field.
• 6-9 years of relevant experience in data analytics.
• Strong business facing stakeholder management and project leadership skills.
• Proven ability to lead large-scale strategic analytics programs.
• Excel in teaching and directing others with a supportive and caring demeanor.
• Demonstrates expert proficiency in preparing data using a variety of tools and programming languages. (SQL, Python, R)
• Ability to effectively leverage big data platforms to maximise analytical value.
• Can design and create compelling visualizations to influence stakeholders.
• Able to identify opportunities and barriers, suggest solutions, and bring these to the attention of others, including those outside of the analytics team.
• Demonstrated expertise in data modelling, statistical analysis, and data blending.
• Deep understanding of industry trends and adjacent disciplines.
• Experience in designing and maintaining scalable data architectures and pipelines.
• Experience with customer usage data; how are subscribers using a system.
• Financial/Accounting background: including monthly closing processes, adjustment processes, contract management, and variance analysis.
• Solid networking background: ability to design & troubleshoot firewall access & connectivity issues between systems.

Platforms & Tools

• Extensive use of Databricks & the Medalion Architecture
• Extensive use of Amazon Redshift
• Python libraries central to Analytics & ML (Scikit-learn, NumPy, Pandas, Matplotlib, etc.)
• Strong knowledge of Power BI/Tableau
• Microsoft Fabric Ecosystem
• Machine Learning & Predictive Analytics Modelling is Advantageous

Benefits

• Optical Assistance
• Life assurance and income protection
• Option to buy additional Annual Leave days
• Employee Assistance Program
• Referral Bonus
• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources

About Us

We provide legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.