Senior Manager, Analytics

About the Role

Key Responsibilities

• Deliver robust analytics outputs that meet statistical requirements and make business sense.
• Manage project delivery from start to finish, ensuring timely completion and meeting 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 with clients.
• Develop relationships with client and agency counterparts and act as an external ambassador for Gain Theory.
• Create marketing content, develop products and services, and support analyst development.
• Oversee data collection, validation, and coordinate data questions with clients and agencies.
• Supervise data transformation, model building, validation, and signoff, ensuring high standards.
• Apply Bayesian and Frequentist approaches to time series econometrics.
• Support the interpretation of results and assist in converting models into client outputs.
• Ensure insights and recommendations are actionable and accurate.
• Manage project timelines, resources, and client relationships to ensure on-time delivery.
• Lead and motivate team members, assign tasks, and facilitate collaboration.
• Identify training needs and support team development.
• Support business development efforts, including client retention and industry engagement.

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 effective communicator.
• 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 such as curiosity, positivity, and consideration.
• Experience with data extraction, manipulation, and validation.
• Knowledge of model building, validation, and media optimization.
• Familiarity with Bayesian and Frequentist approaches and time series econometrics.
• Experience in delivering insights, creating reports, and presenting findings.
• Strong project management skills and ability to coordinate multiple tasks.

Nice to Have

• Experience in marketing effectiveness or related consultancy roles.
• Knowledge of industry benchmarking and activation planning.
• Experience with client-facing roles and external representation.
• Familiarity with industry tools and advanced analytics techniques.

Qualifications

• Degree demonstrating technical ability (e.g., Economics, Mathematics, Statistics).

Benefits & Perks

• Opportunities to work with respected global brands.
• Access to best-in-class learning, training, and career development 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 during holidays.
• 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 professional growth opportunities.