Manager - Analytics

Overview

The Manager - Analytics will drive the growth of econometric marketing studies (Marketing Mix Modelling) with clients while also innovating and developing the agency offering in this regard. This will involve managing client relationships from initial project pitching, to regular updates during the project, as well as final presentation creation and delivery. On an internal level, it includes being involved with project execution and managing resources who are working on the project to ensure timely deliverables. They will also be responsible for keeping up to date with market trends in the space and ensuring that the product is continuously being evolved and incorporating local and global innovations to remain competitive in the industry.

Responsibilities

Technical & Product

• Comfortable using econometric software (StrataQED, MassTer, SAS, etc.)
• Comfortable programming multiple linear regression models in a language of choice (Python or R)
• Open to exploring and evaluating alternative tools for econometrics purposes
  
  

Business Acumen & Operational Efficiency

• Continually search for growth opportunities with prospective clients
• Project manage econometrics projects from pitching, data collection and processing, modelling through to delivery
• Manage client relations and keep them updated throughout with regards to project status and issues
• Build econometric (MMM) models of the highest standards while keeping in mind evaluation metrics around fit, robustness, and predictive power
• Convey the results of the MMM models in ways that are easy to understand and actionable for clients
• Be comfortable debating and explaining complex concepts (regression, goodness of fit metrics, diminishing returns) with clients
  
  

Innovative & Analytical Mindset

• Ensure that the Groupe offering in the MMM space is competitive with industry competition
• Always look to innovate and add value to clients through the product
• Be open to automation / outsourcing / efficiency gains in every part of the modelling process, and look to reduce time spent while maintaining output quality
  
  

People & Leadership

• Seeks others' feedback to develop self-awareness, strengths and address development area.
• Is able to proactively raise issues to improve effective team working and collaboration.
• Is able to communicate confidently in a clear, concise and articulate manner.
• Collaborates with stakeholders and embraces an inclusive based environment.
• Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view.
• Able to build relationships quickly with others and engages personally with peers and clients.
• Treats others with respect, listens to other perspectives, especially when they are different from own.
• Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution.
• Drives a culture of trust with Peers, clients and all other stakeholders.
  
  

Self

• Is able to take ownership for actions and deals with consequences in a mature manner.
• Able to adjust performance based on experiences and feedback and showcases agility and flexibility.
• Displays openness to the ideas of others and leverages them when beneficial for the business.
• Showcases curiosity and open mindset towards new ways of doing things.
• Is able to set high impact objectives and goes above and beyond to exceed performance.
• Demonstrates the Growth Mindset and is able to take ownership of personal development and growth.
• Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives.
• Approaches situations and individuals with honesty, integrity and humbleness.
• Displays resilience and maintains drives and a positive outlook when faced with challenges.
  
  

Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Economics, Computer Science or similar
• Fluent in English and Arabic
• 2-3 years of experience building econometric models and presenting model results to external parties
• Excellent written, visual, and verbal communication skills and ability to transform data into a concise, yet compelling story
• Ability to synthesize information and produce insightful and accurate analysis and recommendations
• Highly organized and impeccable attention to detail. Able to handle multiple projects simultaneously and deliver accurate reports without grammatical or data errors
• Strong sense of responsibility, takes ownership, self-starter, and proactive attitude
• Ability to think of the bigger picture and link performance data to business actions
• Skilled user of MS Office Suite including Excel and PowerPoint
• Experience with econometrics software such as StrataQED, MassTer, etc.
• Familiarity with programming language/logic preferred (Python or R)
  
  

Additional Information

R-2239P-2524