Head Of Business Intelligence & Data Science - Functions

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Job Description

You will have amazing opportunities to:

  • Formulate and execute an avant-garde data strategy that not only aligns with business objectives but also pioneers new approaches for leveraging data as a competitive advantage.
  • Lead, inspire, and manage a team of BI analysts, and data scientists, fostering a culture of innovation and excellence.
  • Drive the design and implementation of cutting-edge BI infrastructure, tools, and systems that push the boundaries of traditional data analytics.
  • Drive the best practice of designing data architecture in every business domain.
  • Direct the analysis of intricate and large-scale datasets to uncover sophisticated patterns, trends, and predictive insights to influence strategic decision-making.
  • Forge collaborations with cross-functional teams to ensure data-driven solutions not only meet but exceed business requirements and industry benchmarks.
  • Working with the Data Governance team to establish and enforce meticulous data governance standards to ensure data accuracy, integrity, and security in compliance with the most stringent industry standards.
  • Champion the exploration and integration of emerging technologies and disruptive methodologies to continually enhance and transform our data strategy.

What you will need to be succeed:

  • 5 years extensive track record of leading high-impact initiatives in Business Intelligence, Data Science, or related fields, demonstrating an ability to drive transformational change.
  • Proficiency in advanced data analysis, visualization, statistical modeling, and the development of predictive analytics models.
  • Mastery of BI tools (e.g., Superset. Tableau, Power BI) and programming languages (Python, R, SQL), showcasing the ability to develop and implement advanced solutions.
  • Proven success in managing and mentoring high-performing, multidisciplinary teams, fostering an environment of constant learning and growth.
  • Exceptional communication and presentation skills, capable of articulating complex data insights to diverse stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field from a recognized institution.

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