Operations Business Analyst - Remote / Hybrid

NOW Hiring Heroes•Cleveland, OH

5d•Hybrid

About The Position

The Operations Business Analyst plays a key role in helping organizations make better, faster, data-informed decisions. This role focuses on understanding how the business operates, identifying patterns and opportunities within data, and translating insights into clear recommendations and actions. The position serves as a bridge between data, operations, and frontline teams, supporting continuous improvement and laying the foundation for advanced analytics and AI-enabled capabilities.

Requirements

Bachelor’s degree in Business, Analytics, Operations, Supply Chain, Engineering, or a related field.
Experience in an analytical, operational, or continuous improvement role preferred.
Comfort working with data, reports, and performance metrics.
Analytical thinking and structured problem solving
Ability to simplify complex information
Strong written and verbal communication
Business curiosity and learning mindset
Collaboration across functions and levels
Comfort working with data, ambiguity, and change

Nice To Haves

Experience with data visualization or reporting tools is a plus, but not required.

Responsibilities

Partner with operations, service, quality, and support teams to understand how work gets done.
Analyze processes, performance trends, and outcomes to identify opportunities for efficiency, cost control, quality improvement, and enhanced customer experience.
Collect, organize, and analyze data from multiple sources to identify trends, exceptions, and areas of risk or opportunity.
Use structured problem-solving approaches to determine root causes and support practical solutions.
Translate analytical findings into clear, actionable insights that leaders and frontline teams can understand and act upon.
Support decision-making with facts, scenarios, and simple visual summaries.
Develop intuitive reports and dashboards that clearly show what is happening, why it matters, and what actions may be required.
Ensure outputs are easy to interpret by a broad audience and focused on driving action rather than just reporting data.
Support continuous improvement initiatives by helping define success measures, tracking performance, and documenting best practices.
Contribute to playbooks, standard work, or guidelines that help teams respond consistently to common operational situations.
Help establish clean, reliable data structures and consistent metrics that support future automation, advanced analytics, and AI-driven decision support.
Stay curious about new tools and approaches that can improve how insights are generated and used.