Manager - Analytics

Job Overview

The Manager - Analytics will lead the expansion and enhancement of econometric marketing studies, particularly Marketing Mix Modelling (MMM), by managing client engagements from initial proposal to project delivery while advancing the agency's analytical product offerings. This role includes overseeing project execution, coordinating team resources to meet deadlines, and staying informed on industry trends to ensure the agency's offerings remain competitive and incorporate the latest innovations globally and regionally.

Key Responsibilities

• Utilize econometric software tools such as StrataQED, MassTer, and SAS effectively.
• Develop multiple linear regression models using programming languages like Python or R.
• Explore and assess new tools for econometric analysis to enhance offerings.
• Identify and pursue new business opportunities with potential clients.
• Oversee all phases of econometric projects, including pitching, data gathering, modelling, and final delivery.
• Maintain regular communication with clients to update them on project progress and address concerns.
• Construct high-quality marketing mix models, ensuring robustness, fit, and predictive accuracy.
• Present complex model results in a clear and actionable manner tailored for client understanding.
• Engage confidently in technical discussions explaining concepts such as regression metrics and diminishing returns.
• Ensure that agency products remain cutting-edge and competitive within the industry.
• Drive innovation and add value through continual product improvement.
• Implement process efficiencies and consider automation or outsourcing opportunities while preserving quality.
• Foster a collaborative and inclusive team environment; seek feedback and encourage open communication.
• Exhibit leadership in problem-solving, cultivating trust, and maintaining professionalism.
• Demonstrate ownership of responsibilities, agility in performance, and a growth mindset focused on personal and business development.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
• Fluency in English and Arabic languages.
• 2 to 3 years’ experience developing econometric models and delivering presentations to external stakeholders.
• Excellent writing, presentation, and data storytelling abilities.
• Strong analytical skills with capability to synthesize complex information into insightful recommendations.
• Highly organized with meticulous attention to detail; capable of managing multiple projects and producing error-free reports.
• Proactive, responsible, self-driven with a professional attitude.
• Ability to contextualize data performance with overall business strategy.
• Proficient in Microsoft Office applications including Excel and PowerPoint.
• Experience with econometric software such as StrataQED and MassTer.
• Preferred experience or familiarity with programming in Python or R.

Additional Information

Job Reference: R-2239P-2524