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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 ...

City of New York

Operations Analyst

Manhattan, NY · On-site

$90K - $100K/yr

... 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 ...

Rula Health

Sr. Operations Analytics Manager (Remote)

$190K - $213K/yr

Ability to connect analytics insights to business strategy, influencing financial and operational decisions that drive profitable growth We're serious about your well-being! As part of our team ...

Xplor

Revenue Operations Analytics Engineer Momence

Denver, CO · On-site +1

$71K - $96K/yr

At Momence we're looking for a Revenue Operations Analytics Engineer to own and scale our end-to-end revenue data stack. This is a high-impact role at the intersection of data engineering, analytics ...

Xplor

Revenue Operations Analytics Engineer Momence

Denver, CO · On-site

$71K - $96K/yr

At Momence we're looking for a Revenue Operations Analytics Engineer to own and scale our end-to-end revenue data stack. This is a high-impact role at the intersection of data engineering, analytics ...

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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 Jun 11, 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 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-compensated cybersecurity role.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts or those with specialized skills can earn over $90,000 annually. Compensation often includes benefits such as bonuses and professional development opportunities.

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.

What jobs pay 500,000 a year in the US?

Operations Analytics roles typically do not reach $500,000 annually, but high-level executive positions such as Chief Operating Officers or Chief Data Officers in large corporations can earn this level of compensation, often including bonuses and stock options. These roles require extensive experience, advanced skills in data analysis, leadership, and strategic planning, and are usually found in major industries like finance, technology, and healthcare.
More about Operations Analytics jobs
What cities are hiring for Operations Analytics jobs? Cities with the most Operations Analytics job openings:
What are the most commonly searched types of Operations Analytics jobs? The most popular types of Operations Analytics jobs are:
What states have the most Operations Analytics jobs? States with the most job openings for Operations Analytics jobs include:
What job categories do people searching Operations Analytics jobs look for? The top searched job categories for Operations Analytics jobs are:
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 89% Full Time, and 11% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $95,349 per year, or $45.8 per hour.

Revenue Operations Analytics Engineer Momence

Xplor Technologies

Denver, CO • On-site

$71K - $96K/yr

Full-time

Posted 29 days ago

Job description

Job Summary:
Xplor Technologies is a company that powers experiences at the heart of everyday life through modern software and AI capabilities. They are seeking a Revenue Operations Analytics Engineer to manage and scale their revenue data stack, working closely with Sales, Marketing, and RevOps teams to turn data into actionable insights that drive revenue growth.
Responsibilities:
• Build and maintain data pipelines from APIs, third-party tools, and other sources
• Manage and optimize our data warehouse (Snowflake) and existing PostgreSQL systems
• Lead the migration from PostgreSQL to Snowflake, including schema design and data validation
• Ensure data quality, reliability, and scalability across revenue systems
• Design and maintain dbt models that power core revenue metrics
• Create clean, reusable datasets for reporting and analytics
• Define and improve data modeling standards and best practices
• Build and maintain dashboards (Looker) for Sales, Marketing, and leadership
• Define and track key funnel and revenue metrics (pipeline, conversion, retention)
• Deliver ad hoc analysis to support go-to-market decisions
• Build systems for lead enrichment, routing, and management
• Develop and iterate on lead scoring models
• Integrate data across CRM, marketing tools, and internal systems
• Use Python and SQL to automate and streamline processes
• Build predictive models such as churn risk or conversion likelihood
• Translate insights into actionable workflows for Sales and RevOps
Qualifications:
Required:
• Strong SQL skills, ideally with dbt
• Python for data processing and automation
• A solid grasp of data warehousing, ideally Snowflake
• Good knowledge of PostgreSQL
• Confidence working with BI tools, ideally Looker
• Familiarity with CRM, funnel, pipeline, and revenue data
• Ability to build clean, analytics-ready datasets
Preferred:
• Experience with web scraping or non-traditional data ingestion
• Exposure to predictive modeling or applied ML
• Experience supporting Sales / Marketing / RevOps teams
• AWS or cloud data infrastructure experience
Company:
Xplor Technologies is a global platform integrating SaaS solutions, embedded payments, and Commerce Accelerating Technologies. Founded in 2021, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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