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Operational Analytics Jobs (NOW HIRING)

The position focuses on translating operational needs into reliable analytics solutions, partnering closely with Finance and other stakeholders to identify leading indicators, automate data flows ...

Provideaccurate,timely, and decision-useful operational analytics to the Vice President of Operations. * Improve forecast accuracy and reduce estimate-to-actual variance across projects.

Reporting and Operational Analytics * Maintain and optimize automated operational KPIs reports and dashboards to improve transparency, efficiency, and data-driven decision-making within Operations.

Reporting and Operational Analytics * Maintain and optimize automated operational KPIs reports and dashboards to improve transparency, efficiency, and data-driven decision-making within Operations.

... operational scorecards, and executive summaries Qualifications : Required : • Bachelor's Degree in Business, Supply Chain, Analytics, Industrial Engineering, Operations, or related field • ...

This role requires deep operational understanding, strong financial acumen, and the ability to influence senior leaders through high-quality analysis, executive-level storytelling, and proactive ...

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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 Jul 15, 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.

Is operation analyst a good career?

An operations analyst is a valuable role focused on analyzing data to improve business processes, often requiring skills in data analysis tools like Excel or SQL. It offers opportunities for career growth, especially with experience and certifications, and is suitable for those interested in problem-solving and process optimization.

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.

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

In operational analytics, senior roles such as Director of Analytics or Chief Data Officer can reach or exceed $500,000 annually, especially in large corporations or financial institutions. These positions typically require extensive experience, advanced skills in data management and visualization tools, and often involve leadership responsibilities and strategic decision-making.

What is an Operational Analytics job?

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 the Operational Analytics position, and why are they important?

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 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.

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 with specialized skills or certifications can earn over $90,000 annually.
More about Operational Analytics jobs
What cities are hiring for Operational Analytics jobs? Cities with the most Operational Analytics job openings:
What are the most commonly searched types of Operational Analytics jobs? The most popular types of Operational Analytics jobs are:
What states have the most Operational Analytics jobs? States with the most job openings for Operational Analytics jobs include:
Infographic showing various Operational Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Operations Analyst

Operations Analyst

NCM Associates

Kansas City, MO

Full-time

Re-posted 10 days ago


Job description

The Operations Analyst is a key technical and analytical contributor within the Data, Analytics, and AI function’s Digital Products team. This role directly supports the Chief Operating Officer (COO) by designing, developing, maintaining, and continuously improving operational reporting, scorecards, dashboards, and measurement systems that drive data-informed decision-making. The position focuses on translating operational needs into reliable analytics solutions, partnering closely with Finance and other stakeholders to identify leading indicators, automate data flows, and support quarterly goal tracking. The Operations Analyst acts as a trusted advisor on operational data strategy while delivering both recurring and ad-hoc reporting that enhances visibility into program performance and business operations.

Key Responsibilities

  • Own the NCM Program Scorecards: deliver regular data updates, evolve metrics and measurements based on business priorities, and provide recommendations for automating data flows to ensure timely, accurate, and efficient scorecard maintenance.
  • Lead Quarterly ELT/SLT Goal Tracking: design and implement measurement systems to accurately assess completion rates and progress; collaborate with stakeholders to brainstorm, evaluate, and integrate new data sources to strengthen goal visibility and accountability; work with leadership to identify new measures that accurately reflect targeted outcomes.
  • Partner with Finance: attend Finance meetings and working sessions to identify opportunities for deeper operational data and reporting; develop leading-indicator dashboards and analyses that connect operational performance to financial outcomes.
  • Deliver ad-hoc operational reporting and analysis to support the COO and leadership team, including rapid response to emerging business questions through data extraction, transformation, visualization, and insightful narrative.
  • Gather and analyze business and operational requirements through stakeholder interviews, process review, and needs assessment to define and prioritize reporting, scorecard, and analytics solutions.
  • Design, develop, test, deploy, and maintain formatted reports, interactive dashboards, visualizations, and supporting database structures (tables, views, stored procedures) using modern BI and data tools.
  • Assist with data integration routines, ETL/ELT processes, data pipelines, quality validation, and automation initiatives to ensure reliable data availability for operational analytics.
  • Contribute to data discovery, profiling, source-to-target mapping, lineage, and quality efforts to maintain trustworthy operational data assets.
  • Collaborate with Data Engineering, Data Stewardship, Architecture, and cross-functional teams to align solutions with enterprise standards, governance policies, and the Value Creation Blueprint.
  • Prepare documentation, project proposals, and status updates; participate in agile or iterative delivery methodologies; and proactively identify opportunities for process improvement and analytics maturity.
  • Stay current with operational analytics best practices, BI technologies, and data automation tools, applying new capabilities to enhance efficiency and insight quality.

Essential Qualifications

  • Bachelor’s degree in Management Information Systems (MIS), Business Analytics, Finance, Operations, Computer Science, or a related field; MBA or financial background preferred.
  • 3–5 years of experience in a Business Analyst, Programmer/Analyst, BI Developer, Report Developer, or Operations Analyst role within an IT, Data, or Finance environment.
  • Strong experience with data warehousing, data modeling, relational databases (RDBMS), SQL, and BI/reporting tools (e.g., Tableau, Power BI).
  • Demonstrated success building and maintaining executive-level scorecards, operational dashboards, and goal-tracking mechanisms.
  • Excellent verbal and written communication skills with the ability to translate complex operational data into clear insights for senior leadership and Finance partners.
  • Highly analytical with strong problem-solving, critical-thinking, and attention-to-detail skills; proven ability to work independently while driving results in a fast-paced environment.
  • Experience partnering with Finance or leadership teams and working with financial/operational data as leading indicators is strongly preferred.
  • Self-starter with high accountability, confidentiality, and professional presence; capable of organizing and prioritizing multiple deliverables.
  • Familiarity with data automation, ETL/ELT concepts, and agile/spiral methodologies; enthusiasm for learning and applying new technologies.