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Operational Data Analyst Jobs (NOW HIRING)

DATA ANALYST

Dallas, TX ยท On-site

Responsibilities : โ€ข Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics โ€ข Extracts ...

The goal of a Store Operations Data Analyst is to understand specific business problems or ... Provide insight into existing operational reports, TN applications, dashboards, and identify ...

Data Analyst

Atlanta, GA ยท On-site +1

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of programmatic, financial, and operational data to enable effective oversight of Head Start grants and regional ...

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

Minneapolis, MN ยท On-site

$75K - $110K/yr

Analyze customer, product, revenue, and operational data to identify trends and opportunities. * Partner with Product, Sales, Customer Success, Finance, and Leadership to answer key business ...

Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into court operations and performance. * Explore and analyze data to identify trends ...

Analyze complex financial and operational data to identify trends, patterns, risks, and opportunities that support business and financial decisionโ€‘making. * Develop and maintain dashboards, reports ...

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

Analyze complex financial and operational data to identify trends, patterns, risks, and opportunities that support business and financial decision-making. * Develop and maintain dashboards, reports ...

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

Data Analyst

Austin, TX ยท On-site

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

Data Analyst

Newark, NJ ยท On-site

... operational data and performance measures. โ€ข Provide information and recommendations to clients that drive improved business results. โ€ข Integrate financial and operating information to add value ...

Data Analyst V

Boise, ID ยท 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 ...

Showing results 41-60

Operational Data Analyst information

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$34K

$82.6K

$136K

How much do operational data analyst jobs pay per year?

As of Sep 13, 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 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 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.

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.

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 an operational data analyst entry-level?

An operational data analyst role can be entry-level or require some experience, depending on the company. Entry-level positions typically require basic skills in data analysis tools like Excel or SQL and may offer on-the-job training. More advanced roles may require prior experience or certifications in data analysis or related fields.
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Infographic showing various Operational Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

DATA ANALYST

Dallas, TX โ€ข On-site

Full-time

Re-posted 22 hours ago


Job description

Job Summary:
360 IT Professionals Inc. is a leading name in the software development industry, providing innovative business solutions to clients in Silicon Valley. They are seeking a Data Analyst with a strong analytics background to support corporate sales reporting and analytics needs, driving data-driven insights from operational data and partnering with business and technology teams to define and execute data analytics initiatives.
Responsibilities:
โ€ข Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
โ€ข Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis
โ€ข Communicates and coordinates frequently with business stakeholders and technology teams
โ€ข Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity
Qualifications:
Required:
โ€ข Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree)
โ€ข Passionate about data analytics, strong strategic and critical thinking, problem-solving skills
โ€ข Experience working with large datasets and reporting or visualization tools, ability to tell a story using data
โ€ข Experience with Airline Corporate Sales and operations
โ€ข Ability to proactively manage stakeholder expectations on current and future business needs
โ€ข Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
โ€ข Familiarity with database interface tools, SQL and programming concepts
โ€ข Experience with statistical tools and concepts (R, SPSS, SAS)
Preferred:
โ€ข Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms
โ€ข Experience with Business Objects-Crystal Reports or Ab Initio for reporting
โ€ข Experience with Tableau, Spotfire, Alteryx or other visualization tools
โ€ข Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning
Company:
360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients. Founded in 2013, the company is headquartered in Fremont, USA, with a team of 201-500 employees. The company is currently Growth Stage.