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Operations Analytics Jobs (NOW HIRING)

City of New York

Operations Analyst

Manhattan, NY · On-site

... analytics. The Operations Analyst will report to the Deputy Director of Operations & Analytics within the Youth Services Operations Unit. Key Tasks include: - Develop and enhance Youth Services ...

Leidos

Network Operations Analytics Engineer

Shiloh, IL · On-site

The Network Operations Analytics Engineer at MacDill AFB, FL supports the Global Solutions Management-Operations II (GSM-O II), Joint Communications Support Element (JCSE). The JCSE team provides en ...

New

DataCT LLC

Operations Analyst

New York, NY · On-site

$90K - $100K/yr

Qualifications * 2-4 years in operations analytics, BI, or process improvement. * Strong Excel and SQL skills. * Detail-oriented with strong written communication. Location Requirement This position ...

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Operations Analytics information

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$41K

$95.3K

$131.5K

How much do operations analytics jobs pay per year?

As of Jul 2, 2026, the average yearly pay for operations analytics in the United States is $95,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $109,500.00 per year, depending on experience, location, and employer.

Is operation analyst a good career?

Operations analysts play a key role in improving business efficiency by analyzing data, optimizing processes, and supporting decision-making. The role typically requires strong analytical skills, proficiency with data tools, and often offers opportunities for advancement and competitive salaries. It can be a good career choice for individuals interested in data-driven problem solving and operational improvements.

Is SOC analyst a high paying job?

SOC analysts typically earn competitive salaries that vary by experience, location, and employer. Entry-level positions may start lower, but with certifications like CompTIA Security+ or CISSP and experience, salaries can increase significantly, making it a well-paying role in cybersecurity.

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 does an operations analyst do?

An operations analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software to monitor performance metrics and support decision-making. Their work helps optimize operational efficiency and support strategic goals.

How much do operations analysts earn?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, with salaries varying based on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.
More about Operations Analytics jobs
What cities are hiring for Operations Analytics jobs? Cities with the most Operations Analytics job openings:
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Operations Analytics jobs near you
Infographic showing various Operations Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $95,349 per year, or $45.8 per hour.
Business Operations & Analytics Manager

Business Operations & Analytics Manager

B/SPOKE Studios

Boston, MA • On-site

$110K - $135K/yr

Full-time

Posted 8 days ago

Be an early applicant

Job description

What this role is

The Business Operations & Analytics Manager will build the scheduling infrastructure and analytics capability that enables us to optimize hundreds of weekly classes across multiple locationsbalancing utilization, revenue, client satisfaction, and instructor performance at scale.

This is a build role for someone who has seen sophisticated scheduling operations but hasn't owned building them from the ground up. You'll design the data models, processes, reporting frameworks, and decision-making cadences that turn scheduling from reactive to strategic. You'll lead this area of the business with autonomy, translating business needs into scalable systems while partnering cross-functionally to deliver the best client experience.

You sit at the intersection of data, operations, and performance managementdesigning how we use insights to drive action, not just report on what happened.

What this role is not: front-line scheduling (you won't manage daily swaps or coverage) or creative programming.

What you'll build

Scheduling infrastructure & systems

  • Design and implement a repeatable schedule optimization process: the data inputs, analysis frameworks, decision criteria, and operating rhythms that drive ongoing improvements across studios
  • Build the methodology for new studio launch scheduling (demand forecasting models, ramp plans, initial class mix strategy, iteration frameworks)
  • Create instructor assignment frameworks that balance consistency, variety, performance, and member experiencethen build the process to execute and refine it
  • Establish change management protocols: how often we adjust schedules, how we communicate changes, how we test and learn

Analytics capability (from messy to actionable)

  • Build lightweight but scalable reporting infrastructure using reservation system data (reports/exports to Excel; BI/API where helpful) and other internal sources
  • Design and maintain analytical models/dashboards that track:
    • Class fill rates, utilization trends, and capacity optimization
    • Revenue per class, time block performance, and yield metrics
    • Instructor scorecards (cNPS, rebooking rates, retention signals, consistency metrics)
    • Client behavior patterns by time, format, studio, instructor, and seasonality
  • Define the metrics that matter, identify data gaps, improve measurement definitions, and recommend better instrumentation as we scale
  • Performance benchmarks per class by studio, breakeven benchmarks per class by studio

Decision-making frameworks

  • Translate data into clear, actionable recommendations with tradeoffs articulated for leadership
  • Design testing protocols for schedule experiments (time-slot changes, instructor shifts, format mix adjustments) with clear success metrics
  • Build documentation and operating rhythms so institutional knowledge doesn't live in one person's head
  • Create the frameworks that enable studio managers to make good local decisions within a broader system

Project leadership

  • Own this functional area end-to-end: set priorities, manage timelines, identify dependencies, communicate progress
  • Partner cross-functionally (studio operations, instructor management, marketing, finance) to ensure scheduling strategy supports broader business goals
  • Scale your own work: build processes that can grow with the business and eventually support a team

What success looks like in 12 months:

  • Improvement in average class utilization
  • Reduced schedule volatility
  • Established standardized launch playbook used across all new studios
  • Instructor scorecards adopted company-wide
  • Studio managers independently using decision frameworks
Experience QualificationsMust-Haves
  • SQL proficiency
  • Excel modeling at advanced level
  • Experience with capacity optimization / yield management
  • Experience in multi-location businesses
  • Experience in services, fitness, hospitality, education, etc.
Nice-to-Haves
  • Experience with Mindbody / Mariana Tek / similar reservation systems
  • Experience building BI dashboards
  • Demand forecasting experience
  • Testing/experimentation frameworks