Senior Manager Data & Analytics

Senior Manager, Data & Analytics

Base salary: $165,000 - $200,000

Bonus: Included

Hybrid (2 days per week in office)

Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.

Overview

We are partnering with a data-driven consumer business seeking a Senior Manager, Data & Analytics to lead a multidisciplinary data team and act as a strategic partner to senior leadership.

This is a highly visible leadership position combining team management, stakeholder engagement, analytics, business intelligence, and data strategy. The successful candidate will help shape how data is used across the organisation, driving better decision-making through actionable insights and scalable analytical capabilities.

This role would suit an experienced analytics leader who enjoys operating in a player-coach capacity, balancing strategic leadership with hands-on involvement where needed.

The Opportunity

You will lead a small team spanning multiple data disciplines and serve as the primary point of contact for data and analytics across the business.

The role requires someone who can translate complex business questions into analytical solutions, influence senior stakeholders through evidence-based recommendations, and build a high-performing data function that supports commercial growth and operational effectiveness.

Success in this position will come from the ability to combine strong leadership, commercial acumen, analytical thinking, and technical credibility.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and develop a multidisciplinary team covering analytics, business intelligence, reporting, and data management.
• Establish clear ownership, priorities, and accountability across the team.
• Foster a culture of continuous improvement, collaboration, and delivery excellence.
• Act as a player-coach, providing guidance while remaining close enough to the work to unblock challenges and support key initiatives.

Business Partnership

• Partner directly with senior business stakeholders to understand priorities and strategic objectives.
• Translate business needs into actionable data and analytics initiatives.
• Provide thought leadership and challenge assumptions through data-driven insights.
• Influence decision-making through effective communication and storytelling.

Analytics & Insights

• Drive analysis across customer, commercial, operational, and financial performance.
• Identify opportunities, risks, trends, and areas for improvement.
• Deliver meaningful recommendations that lead to measurable business outcomes.
• Establish and evolve KPI frameworks that support organisational performance.

Data & Reporting

• Oversee reporting, data quality, governance, and analytical processes.
• Partner closely with technical teams to ensure scalable and sustainable data solutions.
• Improve analytics capabilities, reporting structures, and business visibility into performance.

Innovation & Emerging Technologies

• Support adoption of modern analytical approaches, including AI-enabled tooling and predictive analytics where appropriate.
• Identify opportunities to improve efficiency, scalability, and decision-making through technology.

Required Experience

• 6+ years of experience in Analytics, Business Intelligence, Data Science, or related disciplines.
• Previous people leadership experience, including team development and performance management.
• Experience leading broad data functions rather than a single specialist discipline.
• A proven track record of partnering with senior stakeholders and influencing decisions.
• Experience working within fast-paced, data-rich business environments.

Technical Requirements

• Advanced SQL proficiency.
• Strong experience with modern BI and visualisation platforms such as Looker, Omni, Tableau, Power BI, or similar.
• Understanding of data pipelines, data transformation processes, reporting environments, and data quality principles. xhyhwjd
• Ability to collaborate effectively with technical and engineering teams.

Preferred

• Snowflake
• dbt
• Python
• Predictive analytics
• MLOps exposure
• AI-enabled analytics tooling