Data  Analyst (225-611)

As a Data Analyst, you will play a pivotal role in driving our data-driven decision-making processes. You will be responsible for collecting, processing, and analyzing vast sets of data to help the organization improve operations and provide strategic insights. This position requires a detailed-oriented individual with strong analytical skills who can transform complex data into actionable intelligence. You should be adept at using various analytical and statistical software to generate insights that guide critical business decisions. Your work will not only influence daily operations but also aid in developing long-term strategies to enhance productivity and efficiency across different departments.

Responsibilities

• Collect, organize, and analyze large datasets to identify valuable insights.
• Develop and maintain databases, data systems, and data reporting tools.
• Collaborate with different departments to determine informational and analytical needs.
• Create visualizations and reports for requested projects to support data-driven decisions.
• Conduct data validation and cleansing to ensure data quality and accuracy.
• Develop complex queries to extract information from large databases for analysis.
• Evaluate and identify trends and patterns in data sets to provide comprehensive insights.
• Prepare and present findings to management and stakeholders in a comprehensible manner.
• Interpret data and develop insights for improving business strategies and operations.
• Maintain confidentiality and security of organizational data and information resources.
• Stay updated with the latest data analytical techniques and tools in the industry.
• Provide technical support and troubleshooting regarding data storage structures and analysis.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong knowledge and proficiency in SQL and database management tools.
• Familiarity with data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical and problem-solving skills with attention to detail.
• Ability to work with large datasets and understand complex analytical methodologies.
• Effective communication skills to present complex data insights to non-technical stakeholders.