Bayt.com
https://bayt.page.link/Wdegav58Lem5C6RH9
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Job Description

Roles & Responsibilities:
  • Collect, clean, preprocess, and analyze complex data sets from various sources to derive meaningful insights and identify trends.
  • Independently conduct data analysis and modeling to support business initiatives and solve complex problems.
  • Develop and maintain data reports, dashboards, and visualizations to effectively communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and provide advanced analytical support.
  • Design and implement data quality checks and validation processes to ensure data accuracy and integrity.
  • Utilize statistical techniques and basic algorithms to uncover patterns and make data-driven recommendations.
  • Perform ad-hoc analysis and develop automated processes and tools to streamline data analysis workflows.
  • Stay updated on industry trends, best practices, and emerging technologies in data analysis and data management.
  • Mentor and provide guidance to junior data analysts, sharing your knowledge and expertise.
REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS:

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 5+ years of experience in a data analysis role, demonstrating a strong understanding of data analysis techniques and methodologies.
  • Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar.
  • Experience with data visualization tools such as Tableau, Power BI, or similar, to create interactive visualizations and reports.
  • Extensive experience in data analytics and have demonstrated the ability to lead and drive complex projects.
  • Ability to collaborate with cross-functional teams, and provide strategic insights to guide decision-making.
  • Strong analytical thinking and problem-solving skills, with the ability to independently analyze complex data sets and draw meaningful insights.
  • Knowledge of statistical concepts and experience applying statistical techniques.
  • Excellent verbal and written communication skills to effectively present data findings and insights to stakeholders.
  • Strong attention to detail and ability to work with large datasets efficiently.
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