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Data Analyst

Dehgamwala & Sons

Sharjah, United Arab Emirates · 合同

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17 小时前
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职位描述

About the Role

Dehgamwala & Sons is seeking a meticulous and analytical Data Analyst to join their team in Sharjah, United Arab Emirates. This full-time position offers an on-site or hybrid working arrangement.

Key Responsibilities

  • Gather, cleanse, and analyze data from diverse sources to assist in business decision-making.
  • Design and develop dashboards, reports, and visual tools to effectively communicate critical insights.
  • Track key performance indicators (KPIs) to pinpoint trends, uncover opportunities, and suggest operational enhancements.
  • Work closely with various stakeholders to comprehend their reporting and analytics needs.
  • Validate data to maintain accuracy, consistency, and integrity.
  • Formulate actionable recommendations based on thorough data analysis aligned with business goals.
  • Provide support for forecasting, budgeting, and strategic planning tasks.
  • Help create and upkeep data models and reporting frameworks.

Qualifications and Skills

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Strong capability in SQL, Microsoft Excel, and data analysis methods.
  • Experience with data visualization software such as Power BI, Tableau, or Looker.
  • Knowledge of Python, R, or similar analytical programming languages is considered a plus.
  • Understanding of database architecture, data warehousing principles, and reporting systems.
  • Excellent analytical thinking, problem-solving skills, and communication abilities.
  • Ability to present complex datasets clearly and informatively.

Benefits

  • Competitive salary package.
  • Bonuses linked to performance.
  • Health and insurance coverage.
  • Opportunities for professional growth and support for relevant certifications.
  • Involvement in both regional and international analytics projects.
  • Potential for career progression.
  • A collaborative workplace culture focused on data-driven decision-making.

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