Sr. Data Analyst

• Gather data from various sources, including databases, APIs, and third-party platforms.
• Cleanse data and analyze computer-generated reports to identify and rectify coding errors.
• Analyze datasets generated by business stakeholders from different departments.
• Ensure data accuracy, consistency, and reliability.
• Use statistical techniques to scrutinize data and produce actionable business insights.
• Detect, examine, and interpret trends or patterns within complex datasets.
• Develop data dashboards, charts, and visual aids to support decision-making across departments.
• Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights.
• Identify opportunities for process improvements.
• Create and maintain processes to deliver accurate and timely reports that help stakeholders act on key data insights.

• Strong foundation in statistics with practical experience in statistical software (e.g., Excel, SPSS, SAS).
• Proficiency in data analysis languages, including SQL, Python, and R.
• Exceptional analytical skills to compile, structure, analyze, and present large datasets with precision and attention to detail.
• Critical thinking skills to evaluate data and derive meaningful, actionable insights.
• Excellent communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.