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WM is seeking an Operations Analyst to analyze district/market data, deliver coaching insights, and support site performance. The role emphasizes strong data analytics, cross-functional collaboration, and travel within the market area. Hybrid work is required with 1–2 days on-site weekly and occasional overnight stays.
The ideal candidate translates data into actionable insights, communicates effectively across levels, and supports continuous improvement in data collection and system usage.
Operations Analysts are responsible for District/Market Segment Area data analytics and reviews, partnering closely with the site leadership to deliver daily coaching insights and support site performance. This role requires strong system and data analytics expertise, cross-functional collaboration, and some travel based on MSA size. They monitor performance metrics and data quality to identify trends and improvement opportunities, working with field teams to drive accuracy, compliance, and effective system use. The ideal candidate is analytical, detail-oriented, and able to translate data into actionable insights while effectively communicating and influencing at all levels.
This is a hybrid role, and travel is expected throughout the Market Area (Fresno County to San Diego County). Schedule must be flexible to meet the operational needs of the sites they support. Operations Analysts are expected to spend at minimum 1-2 days per week working onsite with their team, or to attend training and team meetings. Overnight stays as needed; Candidate must live in market area.
Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.
The expected base pay range for this hybrid position is $70, 304 - $75,000 . This range represents a good faith estimate for this position. The specific salary offered to a successful candidate may be influenced by a variety of factors including the candidate's relevant experience, education, training, certifications, qualifications, and work location..