Reporting & Data Analyst (225-731)

The Reporting & Data Analyst role is pivotal in transforming data into valuable insights, which support informed decision-making processes within the organization. The ideal candidate is adept at data collection, analysis, and presentation, proficient in statistical software, and skilled in data visualization. This position suits someone with a keen analytical mind and strong problem-solving abilities. The Reporting & Data Analyst works closely with multiple departments to identify their needs and deliver data-driven solutions. Moreover, they ensure the accuracy and integrity of data collected, as well as the efficiency of data processing operations. In addition to technical skills, excellent communication abilities are necessary to present complex findings to stakeholders in a clear and concise manner. The role involves constant interaction with senior management, and the insights provided directly impact business strategies and improvements.

Responsibilities

• Collect and analyze large datasets to provide actionable business insights.
• Design, develop, and maintain business intelligence tools and dashboards.
• Collaborate with cross-functional teams to understand their data requirements.
• Ensure data accuracy and integrity through regular audits and maintenance.
• Generate detailed data reports, summaries, and recommendations for management.
• Develop data models and algorithms to support predictive analytics initiatives.
• Create visually compelling data visualizations and presentations for stakeholders.
• Support ad-hoc data analysis requests from various departments as needed.
• Stay updated on industry trends and best practices in data analysis.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Test and validate analytical models to ensure their applicability and accuracy.
• Advise on potential improvements to existing data processing systems.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Proficiency in statistical and data analysis software such as SQL, R, or Python.
• Experience with business intelligence and data visualization tools like Tableau.
• Strong analytical skills with the ability to collect, organize, and analyze data.
• Excellent problem-solving skills and attention to detail are essential.
• Proven ability to communicate technical concepts to non-technical stakeholders.
• Experience handling large datasets and understanding of database management.
• Strong organizational skills and the ability to manage multiple priorities.
• Knowledge of machine learning techniques and their practical applications is a plus.