Data Analyst (225-1012)

As a Data Analyst, you will play a crucial role in driving data-oriented decision-making processes across our organization. You will be responsible for collecting, analyzing, and interpreting large datasets to help us make informed business decisions. Your work will involve collaborating with various departments to identify and meet their data analysis needs, creating visualizations to illustrate findings, and building predictive models to forecast future trends. If you are detail-oriented, possess a strong analytical mindset, and have a passion for uncovering insights from complex data, we invite you to join our dynamic team and help us leverage data to enhance our business outcomes.

Responsibilities

• Collect, process, and perform statistical analysis on large datasets to extract insights.
• Develop and maintain data collection systems and data analytics tools.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Collaborate with internal teams to define metrics and KPIs for tracking.
• Design and implement data visualizations to present findings in an accessible manner.
• Improve data quality by identifying data discrepancies and implementing solutions.
• Conduct thorough database research and perform quantitative analysis for projects.
• Build predictive models to improve business forecasting and strategy development.
• Provide actionable insights and recommendations to support decision-making processes.
• Prepare technical reports and presentations based on data analysis outcomes.
• Participate in meetings and discussions regarding data strategies and objectives.
• Ensure compliance with data governance and security policies within the organization.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience with data analysis tools and software such as SQL, R, or Python.
• Strong analytical skills with the ability to interpret complex datasets effectively.
• Excellent problem-solving abilities and attention to detail in data work.
• Proficiency in data visualization tools like Tableau, Power BI, or similar.
• Ability to communicate technical findings to non-technical stakeholders clearly.
• Experience working with big data technologies and cloud platforms is a plus.