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Data Analytics Lead

Job Description and Requirements

Data Analytics Lead

Explore The Future in'VALOORES

More than 30 years of multinational and multicultural successful implementations! We provide integrated scalable solutions based on our proven technology, our state of the art solutions, and our best practices.

Our team! Positive attitude and behavior are key skills in our selection of candidates. We invite you to join our multicultural and international team, where you can use your knowledge in IT, banking, and insurance and to broaden your skills.

Responsibilities:

  • Leading and expanding the analytics team
  • Identifying opportunities in the region’s financial industry (MENA), and leading the design of

innovative solutions (descriptive, diagnostic, predictive, and prescriptive analytics)

  • Participating in pre-sales and client-facing activities in Lebanon and Qatar: Discuss Valoores services with senior executives, analyze the business needs, conduct business research, develop proofs of concept, prepare analytics use cases, and determine the data requirements
  • Designing data and analytics products; managing the end-to-end lifecycle of the modeling process and coordinating the deployment of models in production with the web development, data modeling, and integration teams to ensure enterprise-level performance
  • Developing model prototypes, in R, Python, or SQL
  • Implementing customized algorithms & running experiments for quality assurance
  • Documenting the business and technical lifecycle of the development of data products, including wireframes, FSDs (functional specifications documentations), math/statistical documentation, mapping to the data model, user guides, and executive presentations
  • Communicating analytics results to analytical and non-analytical business partners and executive

decision makers, and participating in meetings with clients

  • Setting up the academic outreach program, supervising interns and junior analytics specialists

Key Qualifications:

  • Masters or Doctorate in Statistics, Data Science, Business Analytics, Operations Research,

Computer Science, MIS, Mathematics, Physics, Software Engineering, Actuarial Sciences, or any other Math and ComputerScience intensive field

At least 5 years of technical experience in analytics.

  • At least one year of leadership experience in analytics.
  • Knowledge of at least one programming language, e.g. C/C++, Java, Python
  • Knowledge in machine/statistical learning algorithms and at least one statistical package
  • Extensive experience in descriptive and diagnostic analytics
  • Knowledge of SQL and data modeling in database design
  • Familiarity with project management in production environment (prior experience is preferred)
  • Experience in implementation of analytics solutions on the top of relational databases and full implementation lifecycle
  • Experience in business communication at executive level
  • Familiarity with research methodologies and ability to organize and engage in R&D activities
  • Excellent documentation skills (business and technical)
  • Ability to think and execute in a fast-paced and start-up like environment
  • Experience in financial sector is preferred but is not mandatory