Senior Manager, Data & Reporting

Role overview

Data, reporting, and analytics

• Oversee data collection, validation, and quality assurance for accurate and reliable data.
• Establish and maintain data governance frameworks compliant with regulatory requirements and company policies.
• Partner with IT and data engineering to optimize data infrastructure, pipelines, and storage solutions.
• Lead the design, development, and delivery of dashboards, reports, and analytics solutions for senior management.
• Automate reporting processes to improve efficiency and scalability.
• Provide actionable insights and recommendations for strategic and operational decisions.
• Collaborate with business units to understand data needs and deliver customized solutions.
• Translate business requirements into technical reporting specifications.
• Promote a data-driven culture and use of analytics in decision-making.

Leadership and stakeholder management

• Lead, mentor, and develop reporting analysts and data specialists.
• Allocate resources and prioritize reporting and analytics initiatives.
• Build cross-functional relationships with Finance, Risk, Operations, and Technology stakeholders.
• Identify opportunities to leverage new technologies, tools, and analytics methodologies.
• Continuously refine reporting frameworks and processes to improve business intelligence delivery.

Qualifications and experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related field.
• Master’s degree is preferred.
• 7+ years of data analytics, reporting, and business intelligence experience.
• Financial services or regulated-industry experience is preferred.
• Experience with Power BI, Tableau, QlikView, and SQL.
• Strong understanding of data warehousing, ETL processes, and data modeling.
• Demonstrated experience managing data or reporting teams.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Key skills

• Data visualization and reporting.
• SQL and analytics tools such as Python or R.
• Data governance and compliance.
• Business intelligence platforms.
• Leadership and team development.
• Strategic thinking and problem-solving.

Benefits and working options

• Competitive salary and benefits supporting mental, physical, financial, and social wellbeing.
• Benefits may include retirement funding, medical and life insurance, and flexible voluntary benefits.
• Time off includes annual leave, parental or maternity leave, sabbatical, and volunteering leave.
• Flexible working options are available around home and office locations.
• Development opportunities include reskilling, upskilling, and physical, virtual, and digital learning.