Senior Manager, Analytics

About the Role

Key Responsibilities

• Work across a set of clients and support Directors & Partners by taking ownership of project delivery from start to finish.
• Deliver robust analytics outputs that meet statistical requirements and make business sense.
• Manage a project effectively to ensure timely delivery, meet revenue targets, and maintain profit margins.
• Lead and develop a team of analysts, providing clear, direct, and supportive feedback.
• Build presentation materials and generate actionable insights.
• Identify cross-sell and up-sell opportunities.
• Develop relationships with client and agency counterparts and act as an external ambassador for Gain Theory.
• Create marketing content, develop products & services, and support the development of Gain Theory analysts.
• Manage data collection, oversee junior team members handling data feeds, check data accuracy, and coordinate data questions with clients.
• Oversee data transformation, model building, validation, and signoff, ensuring high standards of quality.
• Conduct variable testing, support media testing, and take ownership of final model selection.
• Support client lead during results interpretation, assist in converting models into client outputs, and ensure insights are actionable and accurate.
• Manage project timing, resource allocation, and day-to-day client relationships.
• Lead and motivate team members, assign tasks, facilitate collaboration, and identify training needs.
• Support business development efforts, including supporting client leads in revenue targets, creating pitch materials, and attending industry events.

Requirements

• Ability to work within an inclusive and diverse team to deliver innovative solutions.
• Strong interest in using data and analytics for decision-making.
• Tenacious, hardworking, curious, and able to communicate effectively.
• Proficiency with technology, software, and programming languages.
• Degree demonstrating technical ability (e.g., Economics, Mathematics, Statistics).
• Good problem-solving skills and understanding of consumer behavior.
• Ability to work and learn quickly in a fast-paced environment.
• Keen interest in personal learning and development.
• Behaviors supporting company values: Be Curious, Be Positive, Act with Consideration, Make it Better.

Nice to Have

• Experience with Bayesian and Frequentist approaches, especially in time series econometrics.
• Experience in media testing and variable selection.
• Experience in creating marketing content, developing products & services, or supporting analyst development.
• Experience in client relationship management and business development.

Benefits & Perks

• Opportunities to work with respected global brands.
• Accelerated learning, development, and career growth through training and resources.
• Recognition and reward programs for living company values.
• Hybrid working arrangements.
• Employee Resource Groups and social activities.
• Private medical insurance.
• Group Life assurance.
• Market-leading family-friendly policies.
• Generous pension plan and holiday entitlements.
• Birthdays off and additional days off between Christmas and New Year.
• Refer a Friend Scheme, Season Ticket Loans, Cycle to Work Scheme.
• Robust mental health and wellbeing support.
• Access to discounts with leading retailers and ongoing learning opportunities.