Data Analyst (225-911)

A Data Analyst is a crucial member of any organization, tasked with the responsibility to transform raw data into useful insights that can drive decision making and strategic initiatives. The role focuses on collecting, processing, and performing statistical analysis on large datasets to identify trends, patterns, and anomalies. Data Analysts work with various departments to gather requirements and then develop models and reports that communicate their findings in a clear and effective manner. With the ever-increasing amount of data generated in today’s digital age, the demand for skilled Data Analysts continues to grow, making it a dynamic and rewarding career option. Successful candidates will have a strong foundation in data management, statistical analysis, and data visualization techniques, along with excellent communication skills to translate complex data into actionable business strategies.

Responsibilities

• Collect and interpret data from multiple data sources to generate actionable insights.
• Develop, maintain, and manage reporting systems and dashboards using appropriate tools.
• Collaborate with business leaders to understand their data needs and objectives.
• Conduct thorough data analysis to identify trends, patterns, and anomalies in data sets.
• Create detailed reports that clearly communicate findings to non-technical stakeholders.
• Utilize statistical methods to validate data accuracy and ensure data integrity.
• Assist in the design and implementation of scalable data solutions and systems.
• Participate in the continuous improvement of data collection processes and methodologies.
• Manage and organize large and complex datasets for efficient analysis and access.
• Provide support and guidance to junior analysts in the team as needed.
• Stay updated with the latest analytical techniques and trends in data analysis.
• Ensure compliance with data privacy and security regulations and best practices.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst or similar analytical role is required.
• Proficiency in SQL, Python, R, or other programming languages for data analysis.
• Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical and problem-solving skills to interpret complex datasets effectively.
• Strong verbal and written communication skills for presenting data insights clearly.
• Ability to work independently and collaboratively in a fast-paced environment.
• Attention to detail and ability to ensure high quality and accuracy of data analysis.
• Experience with machine learning techniques and predictive modeling is a plus.
• Commitment to continuous learning and development in data analysis and related fields.