Data Analyst (225-807)

A Data Analyst is a pivotal role within any organization, responsible for transforming raw data into actionable insights. This position requires a keen understanding of data analytics, statistical techniques, and data visualization tools to interpret complex datasets and provide meaningful data-driven recommendations. Data Analysts work closely with different departments to identify their data needs and ensure that they have access to the necessary information to make informed decisions. The ideal candidate will possess strong analytical skills, be detail-oriented, and have the ability to communicate findings effectively to a non-technical audience. They will also contribute to the development and maintenance of data systems and processes, ensuring data accuracy and integrity.

Responsibilities

• Collect, organize, and analyze large datasets to identify trends and patterns.
• Prepare reports and presentations that communicate complex data findings clearly.
• Collaborate with different departments to understand and fulfill their data requirements.
• Develop and maintain databases and data systems to ensure data integrity and accuracy.
• Create data visualizations that communicate insights in an understandable manner.
• Utilize statistical tools to interpret data sets and provide business insights.
• Assist in the development of strategies to optimize data gathering and analysis processes.
• Monitor and audit data quality, providing solutions where necessary to improve accuracy.
• Stay updated with industry best practices and emerging data technologies.
• Provide training and support to staff on data processing and interpretation.
• Ensure data security and compliance with company policies and regulations.
• Support the implementation of new tools and technologies for enhanced data analysis.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar analytical role in a dynamic environment.
• Strong proficiency in data management software such as SQL, Excel, and R or Python.
• Experience with data visualization tools like Tableau, Power BI, or similar applications.
• Excellent analytical and critical thinking skills with a detail-oriented mindset.
• Strong communication skills to present complex data findings to non-technical audiences.
• Understanding of data protection regulations and best practices for secure data handling.