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Process Improvement Data Analyst Jobs in Nebraska

Firstnational

Sr. Financial & Data Analyst

Omaha, NE

$81K - $134K/yr

Design and implement process improvements for financial operations * Collaborate with leadership to ... Advanced data analysis and interpretation * Project leadership and stakeholder management

Deckers

$57K - $77K/yr

Perform change impact assessments across people, process, technology, data, and organizational ... Drive continuous improvement by recommending and prioritizing process enhancements that improve ...

Nebraska Medicine

Quality Improvement Analyst

Omaha, NE · Hybrid

This position is ideal for a detail-driven, data savvy professional who enjoys translating complex ... Knowledge of anatomy and disease processes required. Exceptional communication and organization ...

DMSi Software

Data Services Analyst

Omaha, NE

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the ... delivery processes. * Assist other DMSi personnel through escalation support, coaching, and ...

DMSi Software

Data Services Analyst

Omaha, NE · On-site

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the ... delivery processes. * Assist other DMSi personnel through escalation support, coaching, and ...

CONAGRA

Continuous Improvement Manager (FI)

Omaha, NE · On-site

$109K - $159K/yr

Analyze multi‑site manufacturing data to identify trends, loss opportunities, and improvement ... Statistical Process Control; and Design of Experiments to deliver sustainable improvements. * Coach ...

Factualiq

Client Solutions Analyst

Omaha, NE · On-site

$70 - $90/hr

... Data Analytics, or a related field (or equivalent practical experience). * 3+ years of experience in business analysis, consulting, process improvement, or client‑facing delivery roles, with ...

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Process Improvement Data Analyst information

What does a process improvement data analyst do?

A Process Improvement Data Analyst is responsible for analyzing business processes, identifying areas for improvement, and using data-driven methods to recommend solutions. They collect and examine data related to workflows, efficiency, and productivity, then use statistical tools to identify bottlenecks or inefficiencies. By collaborating with different teams, they help implement changes that streamline operations, reduce costs, and improve overall performance. Their work often supports continuous improvement initiatives within an organization.

What are the key skills and qualifications needed to thrive as a process improvement data analyst?

To thrive as a Process Improvement Data Analyst, you need strong analytical skills, a solid understanding of process mapping, and proficiency in statistics, usually supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and process improvement methodologies such as Lean Six Sigma certification is highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you present findings and drive change across teams. These skills ensure you can identify inefficiencies, support data-driven decisions, and effectively implement improvements that add value to the organization.

How does a process improvement data analyst typically collaborate with cross-functional teams to drive efficiency?

A Process Improvement Data Analyst works closely with stakeholders from various departments, such as operations, IT, and management, to identify inefficiencies and recommend data-driven solutions. Collaboration often involves facilitating workshops, leading discussions to map current processes, and sharing analytical findings to ensure everyone understands the root causes of bottlenecks. Regular meetings and clear communication are essential, as analysts must balance technical insights with practical suggestions that teams can implement. This collaborative approach not only helps in building consensus but also ensures that solutions are tailored to each team's unique workflows.

What is the difference between Process Improvement Data Analyst vs Business Analyst?

AspectProcess Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; certifications like Six Sigma or LeanBachelor's in Business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, process improvement projects, operational settingsProject teams, stakeholder meetings, business process analysis
Employer & Industry UsageManufacturing, healthcare, finance, logisticsIT, finance, consulting, corporate sectors

The Process Improvement Data Analyst focuses on analyzing data to optimize processes and increase efficiency, often working closely with operational teams. In contrast, a Business Analyst evaluates business needs, documents requirements, and facilitates solutions across various departments. While both roles require analytical skills and some overlapping certifications, their primary focus and daily tasks differ significantly.

What are popular job titles related to Process Improvement Data Analyst jobs in Nebraska?

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Process Improvement Data Analyst jobs near you

Data Analyst (journeyman) with Security Clearance

Spiral Solutions and Technologies, Inc.

Offutt Air Force Base, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago

Job description

Job Description Position Overview Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7). The Data Analyst supports USSTRATCOM/J7 assessment activities through structured data design, management, analysis, and visualization in support of campaign, risk, operations, and Joint Force assessments. The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools, Python, R, SQL, and machine learning to develop analytical products, dashboards, and decision-support outputs for senior leaders and assessment stakeholders. Requirements Key Responsibilities • Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access. • Execute automated monitoring of intelligence, diplomatic, open-source information, after-action reports, and component inputs, and provide analytical insights on global trends, risks, and opportunities. • Create tools and dashboards to support decision-making. • Collaborate in iterative cycles to ensure analytics deliverables align with evolving requirements and priorities. • Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance. • Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms. • Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions. • Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making. • Assess available datasets, identify opportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making. • Identify, collect, analyze, and enter data in support of competition, planning in crisis, combat, risk, exercise, and other-directed assessments. • Utilize artificial intelligence and machine learning tools to augment analysis and contribute to continuous improvement of assessment processes, tools, and products. Required Qualifications • At least 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • A bachelor's degree or higher. • Expertise in Python, R, Business Intelligence tools, and data cleaning and wrangling. • Proficient in Structured Query Language database management. • Familiarity with Agile methodologies, including contributing to sprint planning, backlog grooming, and retrospectives. • Direct experience developing Machine Learning models required. • U.S. citizenship required. Preferred Qualifications • Experience developing dashboards, connectors, and decision-support tools for strategic assessment environments. • Experience integrating intelligence, diplomatic, open-source, or after-action data into analytical workflows. Experience supporting Combatant Command, Joint Staff, or other senior-level defense assessment organizations Summary Benefits include: Medical Dental Vision Employer paid life insurance Voluntary life insurance 401K Flexible spending accounts Employee Assistance program Short- and long-term disability Home | Spiral Solutions & Technologies, Inc. (ssandtech.com) Equal Opportunity Employer: Spiral Solutions and Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local law

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