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Senior Operations Analyst Jobs in Colorado (NOW HIRING)

BTAS

Senior Operations Engineer

Colorado Springs, CO · On-site

$135K - $181K/hr

Senior Operations Engineer LOCATION: Colorado Springs, CO REQUIRED SECURITY CLEARANCE: Active TS ... Recommend solutions for technical anomalies and support impact analysis, audits, compliance ...

BTAS

Senior Operations Engineer

Colorado Springs, CO · On-site

$161K - $181K/yr

Senior Operations Engineer LOCATION: Colorado Springs, CO REQUIRED SECURITY CLEARANCE: Active TS ... Support modeling, simulation, and analysis (MS amp;A); develop Space Protection and Space Control ...

BTAS

Senior Operations Engineer

Colorado Springs, CO · On-site

$161K - $181K/yr

Senior Operations Engineer LOCATION: Colorado Springs, CO REQUIRED SECURITY CLEARANCE: Active TS ... Recommend solutions for technical anomalies and conduct impact analyses, audits, and readiness ...

Zero Homes

Strategy and Operations Analyst

Denver, CO · On-site

Reporting to the Sr. Manager of Business Operations, you'll dig into the data flowing through every part of Zero (sales, marketing, fulfillment, supply chain, and finance) to produce the analysis ...

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Senior Operations Analyst information

See Colorado salary details

$43.1K

$100.3K

$138.3K

How much do senior operations analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior operations analyst in Colorado is $100,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $115,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior operations analyst?

To thrive as a Senior Operations Analyst, you need strong analytical abilities, process optimization expertise, and a bachelor’s degree in business, finance, or a related field. Proficiency in data analysis tools such as Excel, SQL, and business intelligence platforms like Tableau or Power BI, as well as experience with ERP systems, is typically expected. Exceptional problem-solving, communication, and stakeholder management skills help you drive operational improvements and foster collaboration. These skills and qualities are crucial for identifying inefficiencies, supporting data-driven decision-making, and ensuring smooth organizational operations.

What does a senior operations analyst do?

A Senior Operations Analyst is responsible for analyzing and improving organizational processes to enhance efficiency and productivity. They collect and interpret data related to business operations, identify trends and areas for improvement, and recommend actionable solutions. Senior Operations Analysts often collaborate with various departments to implement process improvements, optimize resource allocation, and support strategic decision-making. Their expertise helps organizations streamline operations, reduce costs, and achieve business goals.

What are some common challenges faced by senior operations analysts, and how can they be addressed?

Senior Operations Analysts often encounter challenges such as managing large datasets, navigating cross-departmental communication, and balancing multiple high-priority projects simultaneously. To address these, it's helpful to develop strong data management skills, use collaborative tools for effective communication, and adopt project management techniques to prioritize tasks. Building strong relationships with stakeholders and staying current with industry best practices also play a key role in overcoming these challenges.
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Senior Operations Analyst jobs near you
Infographic showing various Senior Operations Analyst job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $100,261 per year, or $48.2 per hour.

Operations Analyst, Strategy & Analytics

Fanatics Betting & Gaming

Denver, CO • On-site

Full-time

Posted 3 days ago

New

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Location: Denver or New York | Reports To: Sr. Manager, Ops Analytics & Strategy
Overview
As an Operations Data Analyst at Fanatics Betting & Gaming, you are on the front lines of how the Customer Operations Team understands its own performance. This role sits within the Analytics & AI Enablement team and is the connective tissue between the data and the decision: you'll build and own the analytical foundations that Ops leaders across Customer Support, Fraud, Payments, and WFM rely on, and then you'll translate what it means, guide recommendations, and align stakeholders on what to do next.
Technical depth alone isn't enough for this seat. We need someone who's as strong in SQL as they are at turning that analysis into a clear, persuasive narrative and building real working relationships across a fast-moving, cross-functional organization. Think less "analyst who reports numbers" and more "operator who happens to be excellent with data."
Responsibilities
Strategic Storytelling & Stakeholder Communication
  • Translate complex, sometimes messy data into a clear point of view with actionable recommendations Ops teams can use
  • Present findings and proposals directly to Ops leaders and senior stakeholders with confidence and polish
  • Build genuine working relationships across Payments, Fraud, Product, WFM, and CX - you're a collaborator first, not just a data provider.
  • Read the room: know when a stakeholder needs the executive summary versus the full methodology, and adjust accordingly.
  • Manage multiple concurrent projects with clear, consistent communication to stakeholders and leadership.
Analytical Ownership & SQL Fluency
  • Own your domain end-to-end: build the pipelines, maintain the dashboards, and surface the insights before anyone has to ask.
  • Write, QA, and optimize complex SQL independently - comfortable with SQL is a must-have
  • Proactively catch data quality issues and resolve them (or escalate them) before they surface in leadership reporting.
  • Deprecate manual, one-off reporting in favor of automated, always-on solutions.
  • Autonomously drive short and long-term projects from problem definition through execution, with a strong bias toward action.
AI & Automation Enablement
  • Support the Ops AI roadmap - pulling data, building the business case, and validating the data foundation before a build kicks off.
  • Track and report on AI agent performance post-deployment against top-line Ops goals.
  • Build lightweight alerting on critical Ops metrics to reduce reactive firefighting.
Skills and Qualifications
Required
  • 2-4 years of experience in Strategy, Consulting, Strategic Operations, or a closely related analytical role.
  • Strong hands-on SQL skills - able to write, QA, and optimize complex queries independently.
  • Excellent communication and storytelling skills, with experience presenting to senior leadership.
  • A natural problem solver with a strong bias toward action and a track record of driving things to completion.
  • Empathetic team player who works effectively across functions and builds trust quickly with new stakeholders.
  • Curious, fast learner who's genuinely interested in the sports betting / iGaming space.
  • Comfortable operating in a fast-paced, ambiguous, hyper-growth environment where priorities shift.
Preferred
  • Experience building or maintaining dashboards in Sigma, Tableau, or a comparable BI tool.
  • Familiarity with DBT or a similar data transformation framework.
  • Exposure to AI/ML-adjacent workflows, agent builds, or automation initiatives.
  • Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
  • Experience with Python or a similar scripting language for data manipulation.
  • Bachelor's degree in Business, Analytics, Economics, Computer Science, or a related field.

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