Data Analyst (225-923)

As a Data Analyst, you will play a crucial role in leveraging data-driven insights to help our organization make informed decisions. You will be responsible for collecting, processing, and performing statistical analysis on large datasets, transforming raw data into actionable insights that drive business strategies. Your expertise in data handling and analysis will help you uncover trends and patterns that could benefit various departments, from marketing to financial operations. An eye for detail and strong analytical skills are essential to succeed in this role. You will collaborate with cross-functional teams, interpret complex data trends, and deliver meaningful reports that can inform the company's strategic planning.

Responsibilities

• Collect, clean, and manage large datasets to ensure accurate and timely data analysis.
• Perform statistical and quantitative analysis to provide actionable business insights.
• Develop and maintain dashboards and visualizations to communicate data trends clearly.
• Collaborate with multiple teams to understand data requirements and deliver solutions.
• Interpret complex data points and business outcomes to guide strategic decisions.
• Ensure data integrity and accuracy by performing regular data audits and validation.
• Support data-driven decision-making by creating well-structured analytic frameworks.
• Utilize data mining techniques to identify patterns and correlations in data sets.
• Prepare reports and presentations on findings in a clear, concise, and informative manner.
• Stay current on industry trends and best practices in data analysis and interpretation.
• Assist in developing data models and algorithms for predictive analytics projects.
• Conduct ad hoc data analysis tasks to answer specific business questions or needs.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
• Proven experience as a Data Analyst or in a similar analytical capacity.
• Proficiency with data analytics tools such as SQL, Python, or R is required.
• Strong understanding of statistical analysis techniques and predictive modeling.
• Experience with data visualization tools such as Tableau, Power BI, or equivalent.
• Ability to interpret highly complex datasets and communicate findings effectively.
• Excellent problem-solving skills and attention to detail are essential for accuracy.
• Strong written and verbal communication skills to present data insights clearly.
• Demonstrated ability to work independently as well as part of a collaborative team.