Operations Efficiency Analyst

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Who we are:

The role:

This role supports the Operations Business Analytics & Efficiency team by conducting in-depth data analysis to identify opportunities for expense efficiency and operational improvement. The Analyst plays a key role in tracking the performance of value-capture initiatives, helping to build and maintain the analytical foundation that promotes data-driven decision-making and operational transparency across the organization.

What you’ll do:

• Efficiency Identification: Conduct root cause analysis on operational performance gaps and inefficiencies, proposing data-backed solutions to improve key metrics like cost-per-unit, agent productivity, and demand.


• Support Modeling: Build and refine analytical models (primarily in Google Sheets) to support forecasting, scenario planning, and cost-benefit analyses for new operational initiatives.


• Documentation & Integrity: Ensure data quality and reporting accuracy, maintaining clear documentation of data definitions, methodologies, and analytical processes.


• Cross-Functional Support: Collaborate with team members, Operations Leadership, and Finance partners to gather requirements and deliver timely analytical insights.


• Process Understanding: Develop a strong working knowledge of core operational processes to better inform analysis and recommendations.

What you’ll need:

• Education: Bachelor's degree in Business Administration, Economics, Finance, Engineering, Statistics, Computer Science, or a related quantitative field.


• Experience:




• 3-5 years of professional experience in business intelligence, data analytics, or an operations-focused analytical role. Experience in Finance will also be considered.




• Technical Skills:




• Experience with data visualization tools (e.g., Tableau, Power BI)


• Strong skills in Microsoft Excel (advanced formulas, pivot tables)


• Basic understanding of statistical concepts is a plus.




• Analytical Acumen: High attention to detail and a demonstrated ability to interpret data and translate findings into clear, actionable insights.


• Communication: Strong verbal and written communication skills, capable of presenting data clearly to a non-technical audience.


• Problem-Solving: Eagerness to tackle complex problems and a proactive approach to identifying data-driven solutions.

Nice to have:

• Experience with continuous improvement methodologies (e.g., Lean, Six Sigma).


• Familiarity with data warehousing or ETL concepts.


• Previous experience in a high-volume, operations environment.

Key Attributes for Success:

• Curious & Detail-Oriented: A drive to understand the 'why' behind the numbers and a commitment to accuracy.


• Proactive Learner: Eager to acquire new technical skills and business knowledge.


• Team Player: Works effectively within a team structure and contributes positively to team goals.


• Adaptable: Handles multiple tasks and shifting priorities effectively in a dynamic environment.