Data Analyst (225-730)

We are seeking a skilled Data Analyst to join our innovative team. As a Data Analyst, you will play a crucial role in collecting, processing, and performing statistical analyses on large datasets. The ideal candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve business outcomes. You will utilize your analytical and technical skills to uncover insights that guide decision-making and drive strategic initiatives. Your work will have a direct impact on business operations and strategies, contributing to our organization's overall success. If you are detail-oriented, have a knack for problem-solving, and are ready to leverage data to influence business decisions, we would love to hear from you.

Responsibilities

• Collect, cleanse, and analyze large datasets to gain actionable insights.
• Develop and maintain databases, data systems, and data pipelines for efficiency.
• Identify patterns and trends in data sets to support business decisions.
• Create data visualizations and reports for cross-functional team communication.
• Collaborate with stakeholders to understand data needs and expectations.
• Develop and apply quantitative modeling techniques for data analysis.
• Monitor and validate data integrity, accuracy, and data quality assurance.
• Provide training and knowledge sharing for data processing and analysis techniques.
• Conduct deep-dive data analytics for translating complex data into simple insights.
• Assess data collection mechanisms for future analytical enhancement opportunities.
• Participate in project planning to align data resources with business goals.
• Continuously evaluate and improve analytical methodologies and processes.

Requirements

• Bachelor’s degree in Computer Science, Statistics, or a related field required.
• Proven experience in data analysis, with proficiency in analytical tools.
• Strong knowledge of SQL, Python, R, or other data querying languages.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong problem-solving skills with an analytic mindset for data interpretation.
• Excellent communication skills for translating data findings to non-technical stakeholders.
• Ability to manage multiple projects with accuracy and attention to detail.