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Operational Analytics Jobs (NOW HIRING)

mcw

Revenue & Operational Analytics: * Lead subscription member reporting and analytics to drive strategies that maximize revenue, margin, and customer lifetime value. * Develop predictive models that ...

Fusion HCR

SCADA PI Analyst

Las Vegas, NV

Develop and support asset frameworks, data models, dashboards, reporting, and operational analytics. * Troubleshoot historian, database, interface, and data quality issues. * Lead system upgrades ...

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Operational Analytics information

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$64.5K

$125.3K

$179K

How much do operational analytics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for operational analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is an operational analytics?

An Operational Analytics job focuses on using data to optimize business processes, improve efficiency, and drive decision-making. Professionals in this role analyze real-time and historical data to identify patterns, streamline operations, and enhance performance. They often work with cross-functional teams to implement data-driven strategies, leveraging tools like SQL, business intelligence software, and automation. The goal is to turn raw data into actionable insights that improve operational workflows and business outcomes.

What are the key skills and qualifications needed to thrive in operational analytics?

To excel in Operational Analytics, you need strong analytical abilities, a background in business operations or supply chain, and often a bachelor's degree in a related field such as business, engineering, or mathematics. Familiarity with data analytics tools like SQL, Excel, Tableau, or Python and certifications in data analytics or Lean Six Sigma are commonly required. Excellent problem-solving, communication, and collaboration skills help you translate data into actionable recommendations for cross-functional teams. These competencies enable you to drive operational improvements and informed decision-making within an organization.

What types of teams or departments do operational analytics professionals typically collaborate with?

Operational Analytics professionals frequently work cross-functionally, collaborating with departments such as supply chain, finance, production, IT, and customer service. They often serve as a bridge between data teams and operational leaders, ensuring that insights are effectively implemented to drive process improvements. This collaboration requires clear communication and a practical understanding of various business functions, making the role ideal for those who enjoy teamwork and tangible business impact. These interactions can offer excellent networking opportunities and help build a comprehensive understanding of the organization's operations, supporting both immediate project success and long-term career growth.

Are operations analysts in high demand?

Operations analysts are in high demand across various industries due to their role in improving efficiency, analyzing data, and supporting decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and relevant certifications, leading to steady job growth in this field.

What does an operational analyst do?

An operational 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 and work closely with management to optimize operational performance.

What does an operational analytics do?

An operational analyst uses data analysis to improve business processes, monitor performance, and support decision-making. They often work with tools like Excel, SQL, or data visualization software to identify inefficiencies and recommend solutions. Their role helps optimize operations and enhance overall organizational efficiency.
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Operational Analytics jobs near you
Infographic showing various Operational Analytics job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Sr. Manager, Business Analytics

mcw

Full-time

Re-posted 18 days ago

Job description

We’re currently seeking a Sr. Manager, Business Analytics to join our Headquarters team!

The Senior Manager, Business Analytics is a critical leader of the Financial Planning & Analysis team, responsible for guiding the team that transforms complex data into actionable insights that advance profitability, operational efficiency, and enterprise decision making. This role partners with senior leaders to elevate data-driven business strategy and support achievement of financial objectives.

What You Will Do:

Revenue & Operational Analytics: 

  • Lead subscription member reporting and analytics to drive strategies that maximize revenue, margin, and customer lifetime value.
  • Develop predictive models that identify retention drivers and high-value opportunities across the member lifecycle.
  • Analyze labor and operating expenses to identify efficiency opportunities and drive cost-optimization initiatives across the business.

Data Management & Business Intelligence:

  • Oversee the development, governance, and enhancement of dashboards and analytics tools that empower field and headquarters leaders.
  • Collaborate with cross-functional partners to ensure accuracy, consistency, and integrity of enterprise data.
  • Drive adoption of BI platforms to automate reporting, streamline insights delivery, and enable advanced analytics capabilities.

Leadership & Cross-Functional Collaboration:

  • Lead development of financial models, forecasts, and profitability analyses to inform strategic decisions.
  • Manage, mentor, and develop a team of analysts, fostering a culture of accountability, innovation, and continuous learning.
  • Present concise, actionable insights to senior leadership to influence decision-making.
  • Build effective cross-functional partnerships across Finance, Operations, IT, and other key stakeholders.

How You Will Shine:

  • Bachelor’s degree in Data Analytics, Data Science, Finance, Accounting, or related field.
  • 10+ years of analytical experience, including leadership of high-performing teams.
  • Proficiency with BI tools and advanced Excel capabilities.
  • Strong quantitative, problem-solving, and communication skills.
  • Experience in subscription-based, multi-unit, or service-oriented operating environments preferred.
  • Professional certification such as CPA or CFA preferred.
  • Demonstrated ability to translate complex analyses into compelling narratives for senior audiences.
  • Proven record of driving organizational change through data insights.
  • Commitment to continuous improvement and innovation in analytics capabilities.
  • Collaborative leadership style focused on elevating customer and operator experience.

Technical Skills:

  • Advanced experience with BI tools such as Domo, Power BI, or Tableau.
  • Proficiency in SQL; experience with Python or R preferred for advanced analytics.
  • Familiarity with financial modeling, forecasting, or performance management frameworks.
  • Familiarity with data warehousing tools.

Apply