Manager - Analytics

Overview

The Manager - Analytics will spearhead the expansion of econometric marketing studies (Marketing Mix Modelling) with clients, while innovating and enhancing the agency's offerings in this domain. This role entails managing client engagement from initial proposal, through periodic project updates, to final presentations. Internally, it requires overseeing project execution and coordinating team resources to ensure on-time delivery. Staying updated on industry trends and integrating local and global innovations to keep the product competitive is also essential.

Key Responsibilities

• Utilize econometric software tools (e.g., StrataQED, MassTer, SAS) effectively.
• Develop multiple linear regression models using programming languages such as Python or R.
• Explore and assess alternative econometric tools for enhanced analysis.
• Identify and pursue growth opportunities with potential clients continually.
• Lead econometrics projects covering pitching, data gathering and processing, modeling, and delivery stages.
• Maintain strong client relationships by keeping them informed about project progress and challenges.
• Create top-quality econometric (MMM) models emphasizing fit, robustness, and predictive accuracy.
• Present modeling outcomes clearly and in an actionable manner to clients.
• Confidently discuss complex statistical concepts like regression, fit metrics, and diminishing returns with clients.
• Ensure the agency’s MMM offerings remain competitive with current market standards.
• Drive innovation and add value for clients through continual product improvement.
• Implement automation, outsourcing, and other efficiencies to reduce time while preserving high-quality outputs.
• Embrace feedback for self-awareness and personal development.
• Proactively address team collaboration challenges to improve effectiveness.
• Communicate clearly, confidently, and concisely with stakeholders.
• Collaborate inclusively and contribute valuable insights during discussions and brainstorming.
• Build swift relationships with peers and clients, engaging personally and with respect.
• Manage problems promptly and devise contingency plans aimed at resolution.
• Foster a trustworthy environment among peers, clients, and stakeholders.
• Take ownership of actions, demonstrating maturity in handling outcomes.
• Adapt performance based on experience and feedback with agility and flexibility.
• Remain open to others’ ideas and leverage them for business benefit.
• Exhibit curiosity and openness to new methodologies.
• Set high-impact goals and consistently strive to exceed expectations.
• Demonstrate growth mindset through commitment to personal development and learning.
• Challenge the status quo constructively and take risks to question perspectives both internally and externally.
• Approach situations and people with honesty, integrity, and humility.
• Display resilience and maintain a positive attitude when facing challenges.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
• Fluency in English and Arabic.
• 2 to 3 years of experience developing econometric models and delivering presentations of results to clients.
• Exceptional written, visual, and verbal communication skills, capable of transforming data into clear and compelling narratives.
• Ability to synthesize complex information into insightful, accurate analyses and actionable recommendations.
• Extremely organized with keen attention to detail; adept at managing multiple projects concurrently and delivering error-free reports.
• Strong ownership mindset, self-driven, and proactive approach.
• Capability to understand the broader context and relate performance data to actionable business strategies.
• Proficiency in MS Office tools including Excel and PowerPoint.
• Experience with econometrics software such as StrataQED and MassTer.
• Familiarity with programming languages or logic like Python or R preferred.

Additional Information

Reference Code: R-2239P-2524