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Operations Analytics Jobs in California (NOW HIRING)

Commure

Operations Analytics Manager

Mountain View, CA · On-site

The Operations Analytics Manager will focus on Revenue-Cycle Management, ensuring efficient execution and onboarding processes while driving business metrics across the organization. Responsibilities ...

Commure

Operations Analytics Manager

Mountain View, CA · On-site

$80K - $120K/yr

About The Role As an Operations Analytics Manager , you will play a pivotal role in our Operations team focusing on Revenue-Cycle Management, by working across the whole organization (Product, Eng ...

Walmart

(USA) Manager, Operations Analytics

San Bruno, CA · On-site

$104K - $202K/yr

Analytics Program Manage r Responsibilities * Help drive operational intelligence, efficiency, campaign optimization and management, yield monetization and business analysis through reports and ...

Walmart

(USA) Manager, Operations Analytics

San Bruno, CA · On-site

$104K - $202K/yr

Analytics Program Manage r Responsibilities * Help drive operational intelligence, efficiency, campaign optimization and management, yield monetization and business analysis through reports and ...

Red Tail Acquisitions

Operations Analyst

Irvine, CA · On-site

$72.50K - $78K/yr

Bachelor's degree in Business, Finance, Analytics, Operations, or related field * 1 - 3+ years in operations analytics, financial analysis, or business intelligence * Advanced Excel / reporting tool ...

Red Tail Acquisitions

Operations Analyst

Irvine, CA · On-site

Required : • Bachelor's degree in Business, Finance, Analytics, Operations, or related field • 1 - 3+ years in operations analytics, financial analysis, or business intelligence • Advanced ...

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What is the difference between Operations Analytics vs Data Analyst?

AspectOperations AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data tools beneficial
Work EnvironmentBusiness operations, supply chain, manufacturing settingsOffice environments, data-focused teams across industries
Employer & Industry UsageManufacturing, logistics, retail, healthcareFinance, marketing, technology, healthcare
Common Search & ComparisonFocuses on optimizing operations through data-driven insightsAnalyzes data to identify trends and support decision-making

Operations Analytics and Data Analysts both work with data, but Operations Analytics specializes in improving business processes and operational efficiency, often within specific industries like manufacturing or logistics. Data Analysts have a broader focus on analyzing data sets across various functions. Understanding these differences helps in choosing the right career path or job role.

What are the most commonly searched types of Operations Analytics jobs in California? The most popular types of Operations Analytics jobs in California are:
What are popular job titles related to Operations Analytics jobs in California? For Operations Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Operations Analytics jobs in California look for? The top searched job categories for Operations Analytics jobs in California are:
What cities in California are hiring for Operations Analytics jobs? Cities in California with the most Operations Analytics job openings:
Operations Analytics jobs near you
Infographic showing various Operations Analytics job openings in California as of May 2026, with employment types broken down into 70% Full Time, 25% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Operations Analytics Manager

Operations Analytics Manager

Commure

Mountain View, CA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Commure is building the AI Operating System for healthcare, transforming the administrative burden in the industry. The Operations Analytics Manager will focus on Revenue-Cycle Management, ensuring efficient execution and onboarding processes while driving business metrics across the organization.
Responsibilities:
• Build out scalable infrastructure to improve operational efficiencies and directly impact top-line revenue and bottom-line profitability
• Contribute to the design and implementation of systems and processes that facilitate scalability and efficiency in a hyper-growth environment
• Solve complex, ambiguous business problems and drive and own operational metrics (productivity, quality, scalability)
• Be responsible for owning key operational metrics, productivity is based off pushing metrics forward not time
• Engage in cross-functional collaboration with key internal stakeholders, including our Product, Engineering, and Account Management teams
Qualifications:
Required:
• 3+ years of experience in software or data engineering, consulting, investment banking, or in operations at a fast-paced SaaS tech company
• B. S. or M.S. in a quantitative field, such as Statistics, Applied Mathematics, Engineering, Computer Science, or Data Science from a top 20 university
• Advanced in SQL and Python
• Experience driving results as an IC and working with technical teams to drive scalable architecture
• Ability to drive the entire project management process, ensuring timely and qualitative onboarding and continuous improvement of our key metrics.
• Demonstrated drive, intellectual curiosity, attention to detail, and a proven record of success.
• Comfort in Chaos: You are comfortable working in an autonomous environment, can expertly prioritize and have a knack for identifying internal and external blockers.
• Entrepreneurial self-starter. Thrive in a fast-paced environment and independently capable of seeking information, corralling resources, and delivering results without waiting for direction
Preferred:
• Experience with Retool
• Experience with API & Web Scraping
Company:
Commure is an AI-based company that specializes in health care. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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