About The Position
The Operations Analyst is responsible for delivering data-driven and financially informed insights, developing scalable reporting solutions, and supporting operational and financial decision-making through strong technical expertise and business acumen. This role plays a critical part in improving visibility, efficiency, cost management, and performance across multiple departments.
Requirements
- Bachelor’s degree or higher in Data Analytics, Supply Chain Management, Finance, Economics, Business Administration or closely related field.
- Great analytical, critical thinking and problem-solving abilities
- Strong management, communication, and organizational skills
- Adaptable and capable of working in a fast-paced environment
- Competency in Microsoft applications including Word, Excel, and Outlook.
- Two or more years of analyst experience
Responsibilities
- Design, build, and maintain dashboards and reports in Power BI and Excel to include advanced formulas and automation
- Extract, transform, and analyze large datasets using SQL including joins, CTEs, and query optimization, and DAX to support business and financial needs
- Develop and maintain analytical and financial models for forecasting, labor planning, cost analysis, KPI tracking, and performance analysis.
- Proactively identify trends, anomalies, cost drivers, and opportunities to improve operational and financial performance.
- Ensure all reporting is accurate, timely, and structured for clarity and usability across technical and non-technical audiences, including financial stakeholders
- Continuously improve reporting frameworks to enhance efficiency, scalability, and visual effectiveness
- Collaborate with cross-functional stakeholders to understand business and financial needs and translate them into analytical solutions
- Deliver actionable insights that support both day-to-day operations and financial/strategic decision-making
- Support recurring executive reporting, including KPI summaries, financial performance insights, and QBR materials
- Identify and implement opportunities to streamline manual processes through automation and improved data workflows
- Contribute to the development and standardization of datasets, metrics, and reporting structures, including financial definitions where applicable
- Support data quality initiatives, ensuring consistency, accuracy, and reliability across all outputs
- Validate data sources and outputs to maintain high standards of accuracy, integrity, and financial reliability
- Document data definitions, logic, and reporting methodologies to ensure transparency and repeatability
- Assist in maintaining structured and scalable data environments for reporting and analysis
- Proactively analyze and interpret database tables and fields to ensure data completeness and integrity
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
