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Operational Analytics Jobs in North Carolina (NOW HIRING)

GDIT

Operations Analyst Tech

Concord, NC

Experience with data providers, data flow, data analytics and assessments, operational risk assessments, threats and threat mitigation strategies. * Experience with knowledge management, legal ...

Linedata

Operations Analyst

Charlotte, NC · On-site

$25 - $30/hr

The Operations Analyst will interact with clients and internal teams and will gain exposure to ... Support client-facing administrative and operational processes * Participate in weekly status ...

Triumph Group

Analyst, Operations

Taylorsville, NC · On-site

Responsibilities Operations Analyst (Supply Chain Specialist) The Operations Analyst is responsible for supply chain ensuring materials are available to support production while maintaining optimal ...

ALAMANCE FOODS INC

Operations Analyst

Graham, NC · On-site

Troubleshoot production issues and provide solutions to maintain operational efficiency. Requirements : * Master's Degree in Business Analytics, MBA, or closely related field of study. * Six (6) ...

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Operational Analytics information

See North Carolina salary details

$58.6K

$113.9K

$162.7K

How much do operational analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for operational analytics in North Carolina is $113,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $135,400.00 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.

What are popular job titles related to Operational Analytics jobs in North Carolina?

For Operational Analytics jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Operational Analytics jobs in North Carolina look for?

The top searched job categories for Operational Analytics jobs in North Carolina are:

What cities in North Carolina are hiring for Operational Analytics jobs?

Cities in North Carolina with the most Operational Analytics job openings:

Operational Analytics jobs near you
Infographic showing various Operational Analytics job openings in North Carolina as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, 7% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $113,897 per year, or $54.8 per hour.

Analytics Consultant - Cloud Operations

Charlotte, NC • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Posted 24 days ago

Job description

Outstanding contract opportunity! A well-known Financial Services Company is looking for an Analytics Consultant - Cloud Operations in Chandler, AZ. Irving, TX. or Charlotte, NC. (hybrid 3 days on-site).
Our ideal candidate will strengthen the team's KPI reporting and analytics capabilities by transforming operational data into meaningful insights and recommendations-preferably an Operational Analytics Consultant. While we're primarily looking for someone to strengthen the team's analytics capabilities, we're also open to candidates with a systems or infrastructure engineering background who have an interest in operational analytics.
The Service Reliability and Delivery team is seeking a Senior Operational Analytics Consultant to transform operational data into actionable business insights. This role goes beyond building dashboards. The primary responsibility is to understand operational performance, identify trends and root causes, develop hypotheses, and provide recommendations that enable leadership to make informed decisions.
Working closely SRE, Data Engineers, and BI specialists, this role serves as the bridge between operational data and executive decision making.
Key Responsibilities
  • Analyze operational data to identify trends, patterns, risks, and opportunities for improvement
  • Interpret KPI/KRI and explain the business driver behind performance changes and risks
  • Develop hypotheses and validate findings using statistical and analytical techniques
  • Translate complex data into clear executive insights and practical recommendations
  • Identify automation opportunities through operational analytics and process analysis
  • Prepare executive presentations, operational reviews, and performance summaries that communicate meaningful insights
  • Support predictive analytics initiatives by identifying leading indicators, trends, and forecasting opportunities
  • Continuously improve operational reporting by moving beyond descriptive metrics toward actionable insights

Required Qualifications
  • Bachelor's degree in Analytics, Data Science, Statistics, Operations Management, Computer Science, or a related field
  • Five or more years of experience in operational analytics, business analytics, management consulting, strategy, or a similar analytical role
  • Strong analytical problem-solving skills with the ability to interpret complex operational data
  • Experience using SQL to analyze and manipulate large datasets
  • Experience with Power BI, or similar business intelligence platforms
  • Experience presenting analytical findings to senior leadership
  • Strong understanding of KPIs, KRIs, trend analysis, and performance measurement
  • Excellent written, verbal, and presentation skills

Preferred Qualifications
  • Experience supporting IT Operations, SRE, Service Management, or Enterprise Technology organizations
  • Knowledge of statistics, forecasting, hypothesis testing, regression analysis, or predictive analytics
  • Experience using Python for analytics
  • Experience identifying process improvement or automation opportunities through data analysis
  • ITIL, COBIT certification
  • Experience using AI or Gen AI tools to improve analytics

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