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Operational Data Analyst Jobs (NOW HIRING)

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... Up to 25% Capable of thriving on turning operational data into actionable insights? Do you enjoy ...

Analyze operational datasets to uncover insights and trends to enable decision making at all levels ... Ensure data governance practices are aligned and upheld within the Decision Intelligence teams ...

The position will support operational reporting and process improvement through the development ... Analyze operational data and translate business requirements into effective reporting and ...

Technical Data Analyst Location: Jersey City, NJ Must Have Qualifications: * 5-6 years of ... Strong understanding of Financial Services data ecosystems and operational data flows. * Experience ...

The position will support operational reporting and process improvement through the development ... Analyze operational data and translate business requirements into effective reporting and ...

The position will support operational reporting and process improvement through the development ... Analyze operational data and translate business requirements into effective reporting and ...

They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.

Overview DecisionPoint seeks a Data Analyst (Reporting) to develop KPI frameworks, analyze operational and performance data, and produce recurring reports for a large federal and DoD-aligned mission ...

Data Analyst

San Francisco, CA · On-site

$85K - $110K/yr

Data Analyst Status: Full Time Location: Moriarty, NM Reports To: Chief of Technology Who Are We ... This role will work with telemetry, sensor, and operational data generated by our stratospheric ...

In this role, you will leverage data to support business operations, improve processes, and deliver actionable insights. You'll collaborate with cross-functional teams to analyze data, maintain ...

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data into the insights that drive smarter decisions across satellite design, manufacturing, and mission ...

Analyze manufacturing, procurement, inventory, and supply chain data from ERP systems and other business applications to support operational and financial objectives * Develop, maintain, and monitor ...

Analyze manufacturing, procurement, inventory, and supply chain data from ERP systems and other business applications to support operational and financial objectives * Develop, maintain, and monitor ...

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Operational Data Analyst information

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$82.6K

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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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Cities with the most Operational Data Analyst job openings:

What states have the most Operational Data Analyst jobs?

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What are popular job titles related to Operational Data Analyst jobs?

For Operational Data Analyst jobs, the most frequently searched job titles are:

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, 11% Part Time, and 3% 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 - Material Handling Equipment

Premier Staffing Solution
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Re-posted 14 days ago


Job description

Job Title: Data Analyst - Material Handling Equipment (MHE)

Location: Preferred - Greater Chicago, IL; Greater Atlanta, GA; Greater Dallas, TX. Otherwise, proximity to a major airport is ideal.

Travel: Up to 25%


Capable of thriving on turning operational data into actionable insights?

Do you enjoy visiting sites and collaborating with local teams, vendors, and national OEMs to drive performance?

Can you build data-driven strategies that support long-term business goals, not just short-term fixes?

Are you able to create value through teamwork, transparency, and continuous improvement?

If so, our client is looking for an initiative-taking and detail-oriented Data Analyst who will focus on MHE and is ready to make an impact. Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network.


About the Role

You will be part of a cost-focused team that leverages data to drive sustainable savings, optimize fleet performance, and support full-cycle asset management. As a Data Analyst, you will be a key contributor in analyzing telemetry, maintenance, and operational data for forklifts, reach trucks, and other industrial vehicles. Your insights will help guide strategic decisions around equipment utilization, refresh planning, and vendor performance.


What You Will Do

- Analyze fleet performance data to identify trends, inefficiencies, and cost-saving opportunities

- Support implementation and optimization of telemetry systems across sites

- Develop dashboards and reporting tools to monitor MHE utilization, uptime, and maintenance metrics

- Collaborate with Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives

- Assist in building business cases for equipment refreshes and technology upgrades

- Provide insights into direct and indirect operating costs, including hardware, subscriptions, and service contracts

- Participate in quarterly and annual reviews with data-driven recommendations

- Travel to sites as needed to support data validation, stakeholder engagement, and project alignment


Qualifications

Required:

- Bachelor's degree in Data Analytics, Supply Chain, Engineering, or related field

- 3-5 years of experience in data analysis, preferably in logistics, fleet, or industrial operations

- Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau)

- Excellent communication skills with the ability to translate complex data into clear insights

- Collaborative mindset and ability to work cross-functionally

Preferred:

- Familiarity with KPI development and SLA tracking

- Ability to work cross-functionally and influence stakeholders

- Experience with telemetry or IoT systems

- Familiarity with SAP platforms

- Understanding of MHE lifecycle, maintenance practices, and cost modeling


Premier Staffing Solution logo

About Premier Staffing Solution

Sourced by ZipRecruiter

With our strategic contingent workforce solutions, scale up or down to adapt to changing market demands. Don't let short-term staffing needs hold you back. Whether you need skilled manufacturing workers or reliable warehouse staff, we have the resources and expertise to provide the right people for the job.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Toledo, OH, US

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