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 project timelines, ensure on-time delivery, and meet revenue and profit targets.
• Lead and develop a team of analysts, providing clear, direct, and supportive feedback.
• Build presentation content 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 analyst development.
• Manage data collection, validation, and oversee junior team members handling data feeds.
• Oversee data transformation, model building, validation, and signoff, ensuring quality standards.
• Apply Bayesian and Frequentist approaches, conduct variable testing, and support media testing and variable selection.
• Support client lead during results interpretation, converting models into client outputs, and ensuring insights are actionable.
• Ensure the accuracy of all numbers in presentations.
• Manage project and resource planning, liaising with team members and clients to meet deadlines and objectives.
• Lead team collaboration, motivate, assign tasks, facilitate problem solving, and identify training needs.
• Support business development efforts, including client retention, pitch material creation, 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 to improve decision-making.
• Tenacious, hardworking, curious, and effective communicator.
• Proficiency with technology, software, and quick grasp of programming languages.
• Degree demonstrating technical ability (e.g., Economics, Mathematics, Statistics).
• Good problem-solving skills and understanding of consumer behavior.
• Capacity 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 in time series econometrics.
• Experience in media optimization and variable testing.
• Experience in client-facing roles and consultancy.

Benefits & Perks

• Opportunities to work with respected global brands.
• Accelerated learning, development, and career growth through training resources.
• Recognition and reward programs for living company values.
• Hybrid working arrangements.
• Employee Resource Groups and social activities.
• Private medical insurance and 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.