Data Analyst (225-619)

As a Data Analyst, you will be an integral part of our data-driven organization, responsible for dissecting and interpreting vast amounts of data to provide meaningful insights. Your work will inform decision-making processes and help guide strategic initiatives. You will utilize your analytical skills to process, clean, and validate data, ensuring its accuracy and relevance. You will collaborate with various departments to understand their needs and deliver data-centric solutions. Through your expertise, you will help measure and track performance metrics and trends, and communicate findings in clear and impactful ways. Your efforts will play a crucial role in driving the success and innovation of our business operations.

Responsibilities

• Compile and analyze data trends to identify significant insights and findings.
• Develop and maintain databases to ensure data accuracy and consistency.
• Create visualizations and reports to effectively communicate analyses and findings.
• Collaborate with cross-functional teams to identify and prioritize data-related needs.
• Ensure data integrity and solve any discrepancies or inaccuracies found.
• Utilize statistical methods to optimize and improve operational performance.
• Participate in strategic project planning sessions, incorporating data insights.
• Monitor and evaluate the effectiveness of operational implementations and changes.
• Conduct routine audits and testing to maintain data quality and reliability.
• Stay up-to-date with the latest data analysis technologies and methodologies.
• Assist in the development of data governance and management policies.
• Train and support team members in the use and interpretation of data tools.

Requirements

• Bachelor’s degree in Data Science, Statistics, or related field required.
• Proven experience in a data analyst role, with a strong analytical background.
• Proficiency in SQL and database management systems is essential.
• Experienced with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and ability to handle complex data sets.
• Exceptional communication skills, both written and verbal, are mandatory.
• Ability to work collaboratively and manage multiple tasks simultaneously.
• Familiarity with statistical software like SAS, R, or Python is preferred.
• Attention to detail and strong organizational skills are essential.