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Data Analyst

Salary undisclosed

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We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will deliver data analytics deliverables using advanced SQL, statistical programming, probability, statistics, and visualization. The candidate should have a strong analytical mindset and the ability to interpret complex data sets to provide actionable insights.

Key Responsibilities:

  • Develop and maintain advanced SQL queries to extract and manipulate data from various databases.
  • Utilize statistical programming languages to analyze data and generate reports.
  • Apply probability and statistical methods to identify trends, patterns, and anomalies in data.
  • Create and maintain statistical visualizations to effectively communicate data insights to stakeholders.
  • Collaborate with cross-functional teams to understand data requirements and deliver accurate and timely data analytics solutions.
  • Ensure data quality and integrity by performing regular data validation and cleansing activities.

Required Skills and Qualifications:

  • Proficiency in advanced SQL for data extraction and manipulation.
  • Strong knowledge of statistical programming languages (e.g., R, Python).
  • Solid understanding of probability and statistical methods.
  • Experience with statistical visualization tools (e.g., Tableau, Power BI).
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to effectively present data insights to non-technical stakeholders.
  • Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
  • Previous experience in a data analytics role.
  • Familiarity with data warehousing concepts and tools.
  • Minimum 7+ years of experience.

We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will deliver data analytics deliverables using advanced SQL, statistical programming, probability, statistics, and visualization. The candidate should have a strong analytical mindset and the ability to interpret complex data sets to provide actionable insights.

Key Responsibilities:

  • Develop and maintain advanced SQL queries to extract and manipulate data from various databases.
  • Utilize statistical programming languages to analyze data and generate reports.
  • Apply probability and statistical methods to identify trends, patterns, and anomalies in data.
  • Create and maintain statistical visualizations to effectively communicate data insights to stakeholders.
  • Collaborate with cross-functional teams to understand data requirements and deliver accurate and timely data analytics solutions.
  • Ensure data quality and integrity by performing regular data validation and cleansing activities.

Required Skills and Qualifications:

  • Proficiency in advanced SQL for data extraction and manipulation.
  • Strong knowledge of statistical programming languages (e.g., R, Python).
  • Solid understanding of probability and statistical methods.
  • Experience with statistical visualization tools (e.g., Tableau, Power BI).
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to effectively present data insights to non-technical stakeholders.
  • Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
  • Previous experience in a data analytics role.
  • Familiarity with data warehousing concepts and tools.
  • Minimum 7+ years of experience.