Senior Manager for Economic Analysis and Impact Assessment

Position

Senior Manager for Economic Analysis and Impact Assessment

Job Code

Reports to

Director of Economics

Direct Reports

N/A

Division/Section

Economics

Department

Economics

Sector

Economics, Data and Statistics

Job Family

Role Purpose

The Economics, Data and Statistics Sector is tasked to develop a Centre of excellence in economic analysis and forecasting, with a strong focus on expertise in the industries and markets NEOM aims to excel in the future. We are seeking a highly skilled Senior Manager for Economic Analysis and Impact Assessment to join our dynamic team. As Senior Manager for Economic Analysis and Impact Assessment, you will play a pivotal role in conducting advanced econometric analyses, building predictive models, and providing actionable insights to support strategic decision-making. The ideal candidate will possess a deep understanding of econometric modelling, advanced statistical techniques, and a proven track record of applying these skills to real-world problems in various industries.

KEY ACCOUNTABILITIES & ACTIVITIES

Econometric Models

1. Design, implement and maintain econometric models to analyze complex economic phenomena, including but not limited to macroeconomic forecasting, forecasting of individual industries, labour market demand and supply forecasts and impact assessments.
2. Develop and refine predictive models using advanced statistical techniques such as time series analysis, panel data analysis, and machine learning algorithms.
3. Collaborate with cross-functional teams to identify business challenges, formulate research questions, and develop data-driven solutions.
4. Conduct thorough data analysis, including data cleaning, manipulation, and visualization, to derive actionable insights and recommendations.
5. Stay abreast of the latest developments in econometric theory, statistical methodologies, and industry best practices, and apply them to improve modeling techniques and methodologies.
6. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner through presentations, reports, and other means.
7. Mentor and provide guidance to junior members of the team, fostering their professional growth and development.
8. Act as a subject matter expert on econometric methodologies, providing thought leadership and guidance on key strategic initiatives.

Economic Reporting

1. Contribute to the department’s reporting on the current state and short-term outlook of the economy of the entire territory of NEOM as well as markets relevant to it.
2. Report on regular forecast updates in economic publications on a quarterly and annual basis.
3. Support in-depth analyses of macroeconomic and microeconomic trends based by analyzing and providing solid granular data, both for NEOM, as well as for KSA and globally.
4. Support NEOM sectors and regions in developing sound economic reporting models.

BACKGROUND, SKILLS & QUALIFICATIONS

Knowledge, Skills and Experience

1. Minimum of 8 years of experience in applied econometric analysis, preferably in a research or industry setting.
2. Strong proficiency in econometric software packages such as R, Python, or Stata, as well as experience with data visualization tools such as Tableau.
3. Proven experience in building macroeconomic forecast models.
4. Excellent understanding of National Accounts as well as statistical classifications of business data and economic activities.
5. Extensive knowledge of econometric theory, including regression analysis, time series analysis, causal inference, and experimental design.
6. Experience with large-scale datasets and familiarity with database management systems (SQL, etc.).
7. Proven ability to independently lead and manage complex econometric projects from conception to completion, including project scoping, data collection, analysis, and presentation of results.
8. Excellent communication skills, with the ability to distill complex technical concepts into actionable insights for diverse audiences.
9. Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches.
10. Ability to thrive in a fast-paced, collaborative environment and adapt to changing priorities and business needs.

Qualifications

1. Master's or Ph.D. in Economics, Statistics, Econometrics, or a related field. Ph.D. preferred.