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Operational Data Analyst Jobs (NOW HIRING)

E Logic

Data Analyst

Washington, DC · On-site

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

H R PUNDITS INC

Data Analyst V

Boise, ID · Remote

$130K/yr

Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points ...

AutoRoboto

Data Analysts

Mountain View, CA · On-site

AutoRoboto is seeking a Data Analyst to join our engineering team in Mountain View, CA. This role will work with complex product, operational, automation, robotics, and testing-related datasets to ...

Medasource

Data Analyst II

San Francisco, CA · Remote

... network and operational data for member access, vendor publication, and internal operations ... QES analysis, and ad hoc requests. Validate data, troubleshoot quality issues, support ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

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 ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

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 ...

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Operational Data Analyst information

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$82.6K

$136K

How much do operational data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for operational 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 is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

Is 40 too late for data science?

For an Operational Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

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, or data visualization software and work closely with management to identify trends and optimize processes.

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

Operational Data Analysts typically do not earn $200,000 annually; however, senior roles such as Data Science Managers, Data Architects, or Analytics 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 is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

Is AI replacing data analysts?

Operational Data Analysts use AI tools to automate routine data processing and enhance insights, but AI is not replacing the need for human analysts. Instead, AI complements their skills by handling repetitive tasks, allowing analysts to focus on complex analysis, interpretation, and strategic decision-making. Proficiency in data management, statistical tools, and AI applications remains essential for the role.

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

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
More about Operational Data Analyst jobs
What cities are hiring for Operational Data Analyst jobs? Cities with the most Operational Data Analyst job openings:
What states have the most Operational Data Analyst jobs? States with the most job openings for Operational Data Analyst jobs include:
What job categories do people searching Operational Data Analyst jobs look for? The top searched job categories for Operational Data Analyst jobs are:
Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Store Operations Data Analyst

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,841 frontline employees who took The Breakroom Quiz

537th of 716 rated retailers

Job description

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 is to understand specific business problems or performance opportunities and deliver meaningful insights from all available data to help our field leadership teams and other key stakeholders make important operational decisions. Perform analyses of performance KPIs of stores and team members, compliance, and other business needs as assigned. Strive to continually improve our reporting systems and analytical capabilities for both corporate and field team members. Present information and recommendations to mid-management and senior level management.
ESSENTIAL JOB FUNCTIONS
Make use of all available datasets to accomplish business objectives.
Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly quarterly etc.), to ensure accuracy and timely execution.
Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
Assist with design and creation of new dashboards and reports as assigned.
Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
Communicate with responsible parties when abnormalities are identified.
Troubleshooting the reporting database environment and reports.
Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
Training end users on new reports and dashboards.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
Required:
2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics.
Strong analytical skills.
Complex query statement construction experience (SQL/MySQL).
Acute attention to detail prior experience working with relational databases, large datasets, and ETL processes.
Experience transforming data into usable information for non-technical consumers.
Strong interpersonal, communication, and collaborative skills.
Able to provide a high level of customer service inside and outside the team.
Proficient with Excel, Access, and Word.
Flexible and adaptable to new direction as business problems change.
Desired:
DOMO or other Bi Tools experience
Excellent verbal/writing skills.
Self-motivated Ability to work with limited supervision.
Collaboration and creativity, Commitment to participate in additional training.
Experience in Automotive Retail or Service Industries.
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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