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Operation Data Analyst Jobs (NOW HIRING)

Data Analyst

Miami, FL ยท On-site

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview ... revenue operations data in SaaS environments. Key Responsibilities * Develop and maintain ...

The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create ...

The Store Operations Data Analyst works with field and corporate leadership to organize and present key business insights using data analysis and visualization tools. The goal of a Store Operations ...

Data Analyst

MD ยท Remote

Data Analyst Job Type: Full-Time / Contracting Location: Remote Dynanet Corporation Overview ... Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance ...

Perform financial, operational, and performance-related data analysis * Support the development and optimization of reporting tools, templates, and automated reporting processes * Conduct variance ...

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help ...

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop ...

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... Operational Data Store, and Could platforms. The ideal candidate will also be passionate about ...

Data Analyst

Raleigh, NC ยท On-site

$72K - $80K/yr

We are specialized in Program Management, Technical Project Management, Business Analysis, Software Quality Assurance, Test Automation Engineering, DevOps, Data Analysis, Data Integration, ETL and ...

Data Analyst

Raleigh, NC ยท On-site

$72K - $80K/yr

We are specialized in Program Management, Technical Project Management, Business Analysis, Software Quality Assurance, Test Automation Engineering, DevOps, Data Analysis, Data Integration, ETL and ...

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Operation Data Analyst information

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$34K

$82.6K

$136K

How much do operation data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for operation data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What jobs pay 200,000 a year in the USA?

Operation Data Analysts typically do not earn $200,000 annually; however, senior roles such as Data Science Managers, Data Architects, or Business Intelligence Directors can reach or exceed this salary level, especially with extensive experience, advanced skills in SQL, Python, or machine learning, and working in large organizations or consulting firms.

What does an Operation Data Analyst do?

An Operation Data Analyst is responsible for collecting, analyzing, and interpreting data to help an organization improve its operational efficiency and decision-making processes. They work closely with different departments to identify trends, monitor key performance indicators, and provide actionable insights through reports and visualizations. Their goal is to optimize business operations by using data-driven analysis to recommend improvements and support strategic planning.

What are the key skills and qualifications needed to thrive as an Operation Data Analyst, and why are they important?

To thrive as an Operation Data Analyst, you need strong analytical skills, a background in statistics or business, and proficiency in data modeling, often supported by a relevant bachelor's degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and Excel, as well as data analysis certifications, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication help analysts interpret complex data and present actionable insights to stakeholders. These skills ensure accurate data-driven decision-making, process optimization, and improved operational efficiency.

What is an operations data analyst?

An operations data analyst is a professional who collects, analyzes, and interprets data related to business operations to improve efficiency and decision-making. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and understanding of operational processes.

What jobs in the US pay 300,000 a year?

Operation Data Analysts typically do not earn $300,000 annually; high-paying roles in data analysis or related fields such as data science, machine learning engineers, or senior analytics managers may reach or exceed this level with extensive experience, advanced skills, and often in industries like finance or technology. Executive positions like Chief Data Officers or senior management roles in operations can also reach this salary range. Achieving such compensation usually requires specialized expertise, certifications, and leadership responsibilities.

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

High-paying roles such as senior executive positions (e.g., CEOs, CFOs), specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain highly experienced professionals in finance, law, or technology with advanced skills and certifications may also reach this income level, often through bonuses, stock options, or profit sharing.

How does an Operation Data Analyst typically collaborate with other departments to drive process improvements?

As an Operation Data Analyst, you'll frequently work with teams such as operations, finance, and IT to identify inefficiencies and recommend actionable solutions. This collaboration often involves gathering requirements from stakeholders, presenting data findings in clear visual formats, and supporting cross-departmental projects with insightful analysis. Effective communication and teamwork are essential, as you'll translate complex data into practical recommendations that align with business goals. This role offers the opportunity to see the direct impact of your work on operational efficiency and company performance.
More about Operation Data Analyst jobs
What cities are hiring for Operation Data Analyst jobs? Cities with the most Operation Data Analyst job openings:
What states have the most Operation Data Analyst jobs? States with the most job openings for Operation Data Analyst jobs include:
Infographic showing various Operation Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 93% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Operational Data Analyst

Operational Data Analyst

Revenue Management Solutions LLC

Oklahoma City, OK โ€ข On-site

$60K - $75K/yr

Full-time

Posted 17 days ago


Job description

Job Description


The Operations Data Analyst is responsible for data analysis requests and the support of our internal Operations Teams. Responsibilities include research into processing metrics and exception reduction as well as quality control and cost-reduction insight. This team works alongside Operations, Development, and External Client Teams to define and implement improvements for the day-to-day processing of volume.


Duties and Responsibilities

  • Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
  • Research and develop suggested improvements for production processing efficiency
  • Create, test, and maintain SQL stored procedures alongside a Unit Test environment
  • Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
  • Perform dataset collection for creation of new machine learning processes
  • Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
  • Manage and resolve data extraction inconsistencies per client standard
  • Other duties and responsibilities as assigned


Qualifications

  • 1-3 years SQL and Python
  • Data Analytic/Mining skills required
  • Experience with Jira or similar ticket tools preferred.
  • Experience with version control (GIT, CVS)
  • Experience with query performance tuning preferred
  • Experience troubleshooting in a live production environment preferred
  • Experience with large datasets preferred
  • Experience with high volume and fast turnaround preferred
  • Proficiency in MS Office Suite
  • Understanding of Healthcare claims and payments revenue cycle strongly desired
  • Problem-solving skills
  • Excellent verbal and written communication skills
  • Excellent organizational skills and attention to detail
  • Able to multitask, prioritize, and manage time effectively
  • Attention to detail


Education/Experience

A bachelor's degree in a technical field is not required, but preferred. More than anything, RMS is looking for people who are passionate about technology who want to develop the skills to solve hard and important problems.


Environmental Conditions

Indoor climate-controlled environment. Moderate to quiet noise level


Physical requirements

While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision.


All applicants are subject to a drug screen and background check per company policies