Data Analytics Lead

Neom - Saudi - NEOM

                                                                                              

NEOM is an accelerator of human progress and a vision of what a new future might look like. A region in northwest Saudi Arabia on the Red Sea, NEOM is being built from the ground up to include hyperconnected, cognitive cities, ports, next-generation infrastructure and industries, enterprise zones, research centers, sports and entertainment venues and tourist destinations.

 

As a destination, it will be a home for people who dream big and want to be part of building a new model for exceptional livability, creating thriving businesses and reinventing environmental conservation.

 

As a workplace, it is a place for people who share our core values of care, curiosity, diversity, passion, respect, and becoming a catalyst for change.

 

Are you ready to help NEOM find solutions to the world’s most pressing challenges? Are you prepared to create a lasting legacy that benefits generations to come? Then we want to hear from you!

 

 

ROLE OVERVIEW

The Data Analytics Lead ss responsible for developing and implementing data-driven strategies to support business decision-making, optimize business processes, and provide actionable insights across Oxagon. The Lead will leverage data analytics to enhance the Manufacturing Sector’s operations and strategic initiatives, ensuring alignment with NEOM’s vision and objectives.

 

 

REQUIREMENTS SUMMARY

  • Knowledge of data analysis and reporting tools.
  • Capability to identify inefficiencies and areas of improvement in existing processes.
  • Excellent communication and interpersonal skills, with the ability to engage effectively with a wide range of stakeholders.
  • High attention to details to ensure the processes are optimized.
  • Ability to build and sustain strong relationships with internal and external stakeholders.
  • Competence in negotiating with stakeholders to achieve mutually beneficial outcomes.
  • Flexibility to adjust engagement strategies based on changing circumstances or feedback.
  • Ability to lead and influence others to achieve desired outcomes.
  • Uphold ethical standards in all stakeholder interactions and communications.

 

 

ROLE COMPETENCIES & ACTIVITIES

The Data Analytics Lead's responsibilities will include, but not be limited to:

 

Functional Strategy & Leadership

  • Develop and execute a comprehensive data analytics strategy to support the Group Strategy & Business Development function and other key teams within Oxagon.
  • Oversee the collection, analysis, and interpretation of complex data sets to provide actionable insights that inform strategic decision-making and drive business performance.
  • Implement advanced analytics techniques, including predictive modeling, machine learning, and statistical analysis, to optimize business processes and identify growth opportunities.
  • Collaborate with various departments within NEOM to align data analytics initiatives with organizational goals and objectives, ensuring a unified approach to data-driven decision-making.

 

People Management

  • Help identify, recruit and develop resources to drive the mandate of the Group Strategy & Business Development function

 

Stakeholder Management

  • Build and maintain strong relationships with internal and external stakeholders, including NEOM departments, potential investors, and government entities, to support data analytics efforts.
  • Represent NEOM’s data analytics interests in strategic discussions, negotiations, and external engagements.
  • Coordinate stakeholder involvement in projects, ensuring their feedback is integrated into planning and decision-making processes.
  • Track and monitor stakeholder engagement activities and their impact on project outcomes.

 

       Project Management

  • Support key data analytics projects from inception to completion, ensuring alignment with NEOM’s strategic objectives and successful delivery on time and within budget.
  • Develop and implement analytics-driven initiatives to support the growth and expansion of the Manufacturing Sector
  • Work closely with cross-functional teams to ensure the successful execution of data analytics strategies and projects

 

Core Mandate

  • Utilize data analytics to provide robust insights and support decision-making processes within the Manufacturing Sector and other key areas within Oxagon.
  • Lead the development of data models, dashboards, and reports to support strategic initiatives and monitor key performance indicators (KPIs).
  • Create & implement various PowerBI dashboards to visualize important data points, e.g., utility requirements, job creation, worker compensation levels, GDP contribution, incentive spending, etc.
  • Create reports/dashboards based on data collected in the team’s Deal Management Platform (Salesforce)
  • Create dashboards visualizing the industrial and innovation land status, as well as infrastructure readiness
  • Ensure the effective use of data analytics to enhance investment attraction and retention strategies, optimizing business development efforts.
  • Continuously run market intelligence activities to develop and improve the quality of the team’s data points

 

EXPERIENCE & QUALIFICATIONS

Knowledge, Skills and Experience

  • 5+ years of experience in data analytics, data science, or a similar role.
  • Experience in data analytics, data science, or a related field, preferably within a large organization or consultancy.
  • Strong understanding of advanced analytics techniques, including predictive modeling, machine learning, and statistical analysis.
  • Proven experience with data governance, data management, and data integration practices.
  • Excellent analytical and problem-solving abilities, with a focus on driving data-driven decision-making.
  • Exceptional project management skills, with experience managing complex projects involving multiple stakeholders.
  • Proficiency in analytics tools such as Python, Tableau, or similar platforms.
  • An expert in PowerBI

 

Qualifications

  • Bachelor’s degree in data science, Statistics, Computer Science, Engineering, or a related field; Master’s degree preferred.
Post date: 01 Jumada al-thani 1446 - Today
Publisher: Neom Jobs
Post date: 01 Jumada al-thani 1446 - Today
Publisher: Neom Jobs