DATA ANALYST

We are seeking a talented and experienced data analyst to join our team. The ideal candidate will have a strong background in data analysis and visualization, with proficiency in Python programming. The role involves extracting insights from complex datasets, generating reports, and providing actionable recommendations to drive business decisions.

RESPONSIBILITIES

  • Perform data cleaning, manipulation, and analysis using Python programming language.
  • Develop and implement data models, algorithms, and statistical analyses to solve business problems.
  • Collaborate with cross-functional teams to understand data requirements and deliver insights that support strategic initiatives.
  • Create visually appealing and informative dashboards, reports, and presentations to communicate findings to stakeholders.
  • Conduct ad-hoc analyses and provide analytical support for various business functions.
  • Continuously monitor data quality and integrity, identifying and resolving discrepancies as needed.
  • Stay updated on industry trends and best practices in data analysis and Python programming.

REQUIREMENTS

  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, or related field.
  • Proven experience as a data analyst, with strong proficiency in Python programming for data analysis and manipulation.
  • Solid understanding of data analysis techniques, statistical concepts, and data visualization principles.
  • Experience working with relational databases and SQL for data extraction and manipulation.
  • Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly.
  • Strong problem-solving skills and attention to detail, with the ability to translate complex data into actionable insights.
  • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
  • Ability to work independently and prioritize tasks in a fast-paced environment.
  • Experience with additional programming languages such as R or SQL is a plus.
  • Familiarity with machine learning techniques and libraries (e.g., scikit-learn) is a bonus.

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