Analyst Reporting And Business Intelligence

Role Overview

The Analyst, Reporting and Business Intelligence is responsible for developing and maintaining daily, weekly, and monthly reports, ensuring data integrity, and deriving actionable insights to support decision-making across departments. The role requires a keen eye for detail and strong analytical skills.

Specific Duties And Responsibilities

Reporting & Analytics

• Design, create, and maintain accurate daily, weekly, and monthly reports to support Senior Leaders and Operations in their decision-making process.
• Transform complex data sets into easy-to-understand visualizations using Excel, Power BI, or other tools to provide actionable insights to stakeholders.
• Identify key performance trends, areas of opportunity, and potential issues within assigned reports, and provide recommendations for improvement.
• Respond to ad-hoc requests for reporting and data analysis from internal stakeholders, ensuring a timely and thorough delivery.
  
  

• Conduct regular data quality checks across various systems to ensure that reports are accurate, reliable, and free of discrepancies.
• Maintain and update employee performance reporting files by segment or site, ensuring that all performance data is accurate and up to date.
• Work closely with other Departments to resolve data discrepancies or inconsistencies found in systems such as QORE, USCF, UKG/Kronos.
  
  

• Act as a liaison between departments such as Finance, HR, Training and Recruitment to understand and fulfill their reporting and data analysis needs.
• Communicate with HR and Operations Leaders regarding agent performance, success plans, and improvement opportunities.
• Use reporting insights to suggest data-driven improvements to business processes, performance management strategies, and operational workflows.
  
  

• Identify and suggest areas for optimization in reporting and data management processes to improve efficiency and reduce redundancy.
• Recommend and support the implementation of new tools, techniques, and processes based on emerging trends and feedback from stakeholders.
  
  

• Analytical Thinking: Ability to analyze large sets of data, identify key insights, and apply critical thinking to solve complex business problems.
• Attention to Detail: Consistently ensures accuracy and reliability in all data reporting and analysis, maintaining high standards in the quality of work.
• Excel Proficiency: Advanced skills in Microsoft Excel, including complex formulas, pivot tables, VLOOKUPs, and automated reporting features for efficient data manipulation and reporting.
• Problem-Solving: Proactively identifies issues, evaluates alternative solutions, and implements the most effective course of action to resolve data-related problems.
• Collaboration & Communication: Excellent interpersonal and communication skills, with the ability to work effectively across departments and communicate technical information to non-technical stakeholders.
• Time Management: Strong organizational and time management skills, capable of managing multiple tasks, deadlines, and competing priorities.
  
  

• Technical Proficiency in BI Tools: Knowledge of Power BI, Power Query, and/or SQL for advanced data analysis and visualization. Experience with other data tools is a plus.
• Continuous Learning: A commitment to staying current with emerging trends, technologies, and best practices in data analytics, reporting, and business intelligence.
• Business Acumen: Ability to align data insights with broader business objectives and provide actionable recommendations that drive business performance.
  
  

• Bachelor’s degree in Information Technology, Business, Statistics, Mathematics, Computer Science, or a related field.
• Certifications in Data Analytics, Business Intelligence, or related tools (e.g., Power BI, SQL, Tableau) are an advantage but not required.
  
  

• Minimum of 2 years of experience in data analysis, business intelligence, information technology, or a related field with a focus on generating reports and dashboards.
• Experience with data visualization tools such as Power BI is preferred.
• Knowledge in Power Query, SQL, or similar programming languages is an advantage but not required.
  
  

• Graveyard shift
• Onsite work arrangement as mandated by the Company