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Advanced Data Systems Jobs (NOW HIRING)

Big Data Systems Engineer Belong, Connect, Grow, with KBR ... KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR ... KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR ... KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR ... KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology ...

Big Data Systems Engineer Belong, Connect, Grow, with KBR ... KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology ...

Data Engineer

Willingboro, NJ · On-site

$114.30K - $137.30K/yr

Responsibilities : • Build and maintain advanced data systems that bring together data from disparate sources in order to enable decision makers • Build pipelines and prepare data for use by data ...

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Advanced Data Systems information

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$46K

$112K

$197K

How much do advanced data systems jobs pay per year?

As of May 29, 2026, the average yearly pay for advanced data systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Advanced Data Systems specialist, and why are they important?

To thrive as an Advanced Data Systems specialist, you need expertise in data architecture, database management, and systems integration, typically supported by a degree in computer science or information systems. Proficiency with tools like SQL, NoSQL databases, ETL platforms, and cloud services such as AWS or Azure is essential, and certifications like AWS Certified Solutions Architect can be advantageous. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate with cross-functional teams and translate business needs into technical solutions. These capabilities ensure efficient data operations, secure handling of information, and the successful deployment of scalable data systems.

What are some common challenges faced by professionals working in Advanced Data Systems, and how can they be addressed?

Professionals in Advanced Data Systems often encounter challenges such as managing large-scale, complex data architectures and ensuring data integration across multiple platforms. Keeping up with rapidly evolving technologies and maintaining data security and compliance are also ongoing concerns. These challenges can be addressed by investing in continuous learning, collaborating closely with cross-functional IT and business teams, and implementing robust data governance practices. Adopting scalable, cloud-based solutions and automation tools can further help streamline workflows and enhance system reliability.

What are Advanced Data Systems?

Advanced Data Systems refer to sophisticated software and hardware solutions designed to efficiently collect, store, manage, and analyze large volumes of data. These systems often incorporate technologies like cloud computing, data warehousing, artificial intelligence, and machine learning to process complex datasets and deliver actionable insights. They are used across industries to improve decision-making, automate processes, and enhance business intelligence. Advanced Data Systems can range from enterprise-level databases to integrated analytics platforms, supporting real-time data processing and reporting.

What is the difference between Advanced Data Systems vs Data Analyst?

AspectAdvanced Data SystemsData Analyst
Required CredentialsTypically requires a degree in computer science, information systems, or related fields; certifications like SQL, data managementBachelor's degree in statistics, mathematics, or related fields; certifications like Excel, SQL, Tableau
Work EnvironmentOften in IT or software companies, working with databases and systemsIn various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by tech firms, healthcare, finance for data management solutionsCommon across finance, marketing, healthcare, and consulting sectors

While Advanced Data Systems focuses on managing and implementing data solutions within organizations, Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities and work environments differ.

More about Advanced Data Systems jobs
What job categories do people searching Advanced Data Systems jobs look for? The top searched job categories for Advanced Data Systems jobs are:
Infographic showing various Advanced Data Systems job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.
Data Analyst - Iowa

Full-time

This job post has expired today. Applications are no longer accepted.


Ruan Transportation Management Systems rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

139th of 335 rated logistics


Job description

Job Summary:
Ruan Transportation Management Systems is a company located in downtown Des Moines, IA, seeking a Data Analyst. This role is responsible for collecting, analyzing, and interpreting data to support business decision-making and improve operational efficiency, utilizing tools such as Power BI and SQL.
Responsibilities:
• Carrying out the Company's organizational values and operating in accordance with applicable laws, regulations, and Company policies are required functions. Essential and other important responsibilities and duties may include, but are not limited to, the following:
• Data Collection and Transformation: Extract, clean, and transform data for complex analyses and large datasets. Automate repetitive tasks in data preparation, applying best practices in coding and documentation. Ensure data integrity and accuracy by maintaining databases and performing regular audits.
• Power BI Development: Build, develop, and maintain reports and dashboards, leveraging reporting tools to perform advanced data field transformations and to create sophisticated and streamlined data models. Provide meaningful insights to leadership and other stakeholders using data from a variety of sources to tell a compelling story for data-informed decision-making.
• Data Exploration and Analysis: Conduct in-depth analysis to uncover deeper insights and actionable recommendations for business units. Apply statistical techniques and advanced exploratory data analysis (EDA) to provide nuanced insights that answer key business questions to improve operations through descriptive and diagnostic analytics.
• Cross-Functional Collaboration: Work with operations teams to establish business needs and to develop and understand product specifications. Present insights and visualizations to stakeholders, explaining the methodology and business implications of findings. Develop awareness of and familiarity with issues and events affecting the organization, department, and/or customer. Collaborate closely with data engineering teams to communicate data requirements and address data quality issues.
• Report Presentation and Documentation: Present findings in a clear, concise format, preparing visualizations and summaries for stakeholder meetings. Document methods used and steps taken in analyses, maintaining organized records of data sources and transformations. Ensure accuracy and clarity in all reports and documentation.
• Database Applications: Use and support database applications and analytics tools. Assess data systems and programs.
• Continuous Improvement: Identify opportunities for process improvements and assist in implementing solutions. Research new data sources and analytical tools, exploring new data collection and analysis processes.
• Perform other job-related duties and special projects as required.
Qualifications:
Required:
• PowerBI And SQL Experience Is a Must.
• Collecting, analyzing, and interpreting data to transform it into valuable information.
• Working with large datasets.
• Developing complex reports and dashboards.
• Providing actionable insights to support the company's customers and operations.
• Collaborating with various business operations to support and improve operational efficiency.
• Ensuring data integrity and delivering meaningful insights that drive strategic initiatives.
• Commitment to learning and growing in analytical skills.
• Carrying out the Company's organizational values and operating in accordance with applicable laws, regulations, and Company policies.
• Extracting, cleaning, and transforming data for complex analyses and large datasets.
• Automating repetitive tasks in data preparation, applying best practices in coding and documentation.
• Maintaining databases and performing regular audits.
• Building, developing, and maintaining reports and dashboards.
• Leveraging reporting tools to perform advanced data field transformations.
• Conducting in-depth analysis to uncover deeper insights and actionable recommendations.
• Applying statistical techniques and advanced exploratory data analysis (EDA).
• Working with operations teams to establish business needs and develop product specifications.
• Presenting insights and visualizations to stakeholders.
• Documenting methods used and steps taken in analyses.
• Using and supporting database applications and analytics tools.
• Identifying opportunities for process improvements and assisting in implementing solutions.
Company:
About Ruan Founded in 1932, Ruan is a family-owned transportation company providing Dedicated Contract Transportation, Managed Transportation, Contract Distribution and Fulfillment, and Freight Brokerage. Founded in 1932, the company is headquartered in Des Moines, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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