Senior Operations Analyst
Listed on 2026-07-23
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IT/Tech
Business Intelligence, Data Analyst -
Business
Business Intelligence, Data Analyst
Role Overview
The Senior Operations Analyst is a strategic, highly experienced analytics partner responsible for driving advanced insights, operational efficiency, and cost optimization across the Field Service organization. This role requires deep operational understanding, strong financial acumen, and the ability to influence senior leaders through high-quality analysis, executive-level storytelling, and proactive problem solving.
In addition to supporting day‑to‑day operational decision‑making, the Senior Operations Analyst plays a critical role in supporting growth initiatives by partnering with Commercial Finance to project staffing needs, model costs, and evaluate new business opportunities. This role also leads improvements in data quality, reporting, and analytics capabilities, acting as a key liaison between Field Service, IT, and Finance.
What You Will Do Strategic Operational Analytics & Insights- Lead advanced analysis of operational, financial, and performance data to identify systemic inefficiencies, cost‑saving opportunities, and scalability improvements.
- Develop and oversee executive‑level dashboards, scorecards, and reporting frameworks using Excel and Power BI.
- Provide Field Service leadership with forward‑looking insights that drive productivity, utilization, service quality, and margin performance.
- Set analytical standards and best practices to ensure accuracy, consistency, and usability of data across the organization.
- Partner closely with Commercial Finance to support new business pursuits through staffing projections, operational cost modeling, and scenario analysis.
- Lead workforce and capacity modeling to align staffing strategies with demand, productivity assumptions, and growth plans.
- Support long‑range planning, budgeting, and forecasting by linking operational drivers to financial outcomes.
- Identify and quantify efficiency and cost‑reduction opportunities aligned with Field Service and enterprise financial goals.
- Translate complex analysis into clear recommendations, prioritized action plans, and measurable operational and financial impacts.
- Advise Field Service leadership on trade‑offs, risks, and expected outcomes of strategic and operational decisions.
- Track performance against improvement initiatives and communicate progress, results, and realized savings.
- Lead initiatives to improve data quality, governance, reporting automation, and analytics maturity across Field Service.
- Act as the primary liaison between Field Service and IT for analytics requirements, system enhancements, and reporting solutions.
- Reduce manual reporting effort through scalable, repeatable, and automated data solutions.
- Mentor and guide analysts or operational partners on analytical approaches and reporting best practices (where applicable).
- Develop polished, executive‑ready PowerPoint presentations that clearly communicate insights, recommendations, and strategic implications.
- Confidently present findings to senior internal leadership and high‑level customer contacts.
- Serve as a trusted thought partner and advisor, influencing decisions with data‑backed insight and clear narrative.
- Manage and track progress on initiatives that directly impact data integrity.
- Expert‑level proficiency in Excel, including advanced modeling and complex analysis.
- Advanced experience with Power BI, including dashboard design, data modeling, and insight storytelling.
- Exceptional PowerPoint skills with the ability to translate data into compelling executive narratives.
- Strong financial, operational, and workforce analysis capabilities.
- Proven track record of driving efficiency improvements and cost savings through analytics.
- Highly organized, detail‑oriented, and able to manage complex, multi‑threaded initiatives.
- Proactive, strategic thinker with strong ownership mindset and initiative.
- Excellent stakeholder management and communication skills across technical, operational, financial, and executive audiences.
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