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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.

Operational Analytics Analyst 2

F.N.B. Corporation

Pittsburgh, PA • On-site

Full-time

Re-posted 25 days ago

Job description

Primary Office Location:
100 Federal Street. Pittsburgh, Pennsylvania. 15212.
Join our team. Make a difference - for us and for your future.
Position Title: Operational Analytics Analyst 2
Business Unit: Operations
Reports to: Manager of Operational Analytics
Position Overview:
This position involves understanding business questions and data lineage to select applicable data sources and methods for reports and analytics. Working closely with FNB Operations Managers, the candidate should be able to demonstrate the skills needed to define and deliver small to medium sized analytics assignments independently. The primary objective involves developing data-driven insights using SQL/DAX and Power BI visualizations to deliver analytics projects that improve efficiency, communicate metrics, and enable senior management to understand the health of the organization.
Primary Responsibilities:
Performs analytics and reporting, relying heavily on SQL/DAX to source data and PowerBI to communicate data stories. Also uses additional tools and methodologies incorporating the latest technologies and modern techniques to measure and increase awareness of organizational performance and highlight business opportunities.
Develops and produces solutions that can include SharePoint, Power Automate, Microsoft Excel, and Power BI.
Supports and assists members of the Business Analytics team in completion of analytics projects. Provides technical, business intelligence, and analytical guidance to other members of the FNB Operations analytics community in support of their business objectives.
Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team.
Creates a technical environment in which data and solutions are documented properly.
Performs other related duties and projects as assigned.
All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.
Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:
BA or BS
Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:
5
Skills Required to Perform the Primary Responsibilities of this Position:
MS Excel - Intermediate Level
MS PowerPoint - Intermediate Level
Detail-oriented
Excellent communication skills, both written and verbal
Ability to work and multi-task in a fast paced environment
Excellent organizational, analytical and interpersonal skills
Experience with SQL or other data related languages in a professional setting is required
Experience with Microsoft PowerBI or similar is required
Familiarity with a financial organization is highly preferred
Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:
N/A
Physical Requirements or Work Conditions Beyond Traditional Office Work:
N/A
Equal Employment Opportunity (EEO):
It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.
FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.

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