Data and Reporting Associate (225-829)

As a Data and Reporting Associate, you will play a crucial role in the data analysis and reporting processes of our organization. You will be responsible for collecting, analyzing, and interpreting data to support decision-making and improve business processes. Your responsibility will also include creating detailed reports, which present data in a clear, concise, and actionable manner. You’ll collaborate with various departments to understand their data needs and help optimize the use of data to drive business results. This role requires a strong analytical background, attention to detail, and the ability to communicate complex data insights effectively to stakeholders.

Responsibilities

• Gather and analyze data from multiple sources to support business objectives.
• Develop and maintain automated reporting tools for streamlined data analysis.
• Create comprehensive reports summarizing key insights and recommendations for stakeholders.
• Collaborate with department leaders to determine data and reporting requirements.
• Ensure data accuracy and integrity across all reporting processes and systems.
• Monitor key performance indicators and report on data trends and variances.
• Provide insights and data-driven recommendations to support decision-making processes.
• Assist in the development and implementation of data governance and quality standards.
• Maintain documentation of data sources, methodologies, and definitions for reports.
• Identify opportunities to improve data collection and analysis processes.
• Participate in cross-functional projects to integrate data insights into business strategy.
• Train staff and stakeholders on best practices in data interpretation and reporting.

Requirements

• Bachelor’s degree in Data Science, Analytics, Business, or related field.
• Minimum of two years of experience in data analysis or reporting roles.
• Proficiency in data visualization tools such as Tableau or Power BI.
• Strong analytical skills with a focus on detail and accuracy in data handling.
• Ability to communicate complex analytical concepts clearly to non-technical audiences.
• Experience with database systems and knowledge of SQL or similar querying languages.
• Demonstrated ability to prioritize tasks and manage multiple projects effectively.