Lincoln, NE - Data Systems Analyst

General Excavating•Lincoln, NE

7d•Onsite

About The Position

General Excavating is an award-winning contractor serving public and private owners throughout Nebraska, South Dakota, and Wyoming, specializing in underground utilities, natural gas distribution, environmental remediation, excavation shoring, directional drilling, hydro-excavation, and heavy civil construction. The Data Systems Analyst bridges business needs with technology by designing, implementing, and optimizing data systems and applications. Based in the Lincoln office, the role collaborates with teams across the organization to identify opportunities for automation and improved reporting, while managing and optimizing business systems including Sage 300 CRE, HCSS Heavy Bid, HCSS Heavy Job, T3, and hh2. The analyst works with complex data structures; develops dashboards, reports, and automation workflows; supports data integration across platforms; troubleshoots system performance; and maintains databases. The role also gathers user requirements, ensures data integrity, identifies and implements opportunities to use AI, and continuously improves tools and systems to support business decisions and operational efficiency. The position requires a bachelor’s or associate degree in Information Systems, Computer Science, Business Analytics, Data Analytics, or a related field, and at least three years of relevant experience. The role primarily works in an office environment and involves extended computer use. Pre-employment reference and background checks, post-offer drug testing, and fit-for-employment screening are conditions of employment.

Requirements

Bachelor’s or associate degree in Information Systems, Computer Science, Business Analytics, Data Analytics, or a related field.
At least three years of experience in data analysis, business systems analysis, reporting, integrations, business intelligence, or a related field.
Experience working with business applications and databases.
Experience with Power BI, Power Automate, SQL, Microsoft Fabric, or other business intelligence tools.
Hands-on scripting experience, including PowerShell, and a solid understanding of database relationships.
Experience creating reports, dashboards, and data visualizations.
Proficiency in Excel.
Knowledge of data mapping, data validation, and data quality practices.
Strong analytical and problem-solving skills.
Strong communication skills.
Excellent organizational skills and attention to detail.
Ability to read, analyze, and interpret business documents, technical procedures, and system documentation; write reports, documentation, and business correspondence; and effectively present information and respond to questions.
Ability to work with percentages, ratios, and basic statistics and apply these concepts to data analysis and financial and operational reporting.
Ability to solve practical problems with limited standardization and interpret technical instructions provided in written, oral, diagram, or schedule form.
Ability to perform the job’s physical functions, including extended computer work, sitting, using hands, talking, and hearing; occasional standing, walking, reaching, and lifting or moving up to 25 pounds.
Must meet the stated qualifications and job duties, task frequency, and PPE requirements, and pass pre-employment reference and background checks, post-offer drug testing, and fit-for-employment screening.

Nice To Haves

Experience with construction applications such as Sage 300 CRE, HCSS Heavy Bid, HCSS Heavy Job, T3, and hh2.
Knowledge of construction industry processes.
Relevant certifications in Business Intelligence, Data Analytics, SQL, Power BI, or related technologies.

Responsibilities

Manage the design, implementation, testing, and maintenance of system integrations and automated workflows.
Develop and maintain reporting solutions, dashboards, and analytics tools for operational and strategic decision-making.
Collaborate with business stakeholders to gather reporting, integration, and data requirements.
Analyze business and system data to identify trends, opportunities, exceptions, and process-improvement recommendations.
Create and maintain data mapping, transformation, and validation documentation.
Monitor data quality and integrity across enterprise systems.
Troubleshoot integration issues, data discrepancies, and reporting errors.
Assist with enterprise reporting initiatives using Power BI, SQL, Excel, and business application reporting tools.
Partner with application owners to improve data visibility and process efficiency.
Support data conversions and migrations related to implementations and system enhancements.
Maintain documentation related to integrations, data structures, reporting processes, and system workflows.
Assist with establishing and maintaining data governance standards and best practices.
Provide end-user support and training related to reporting and analytics tools.
Collaborate with internal and external technology partners on integration and reporting initiatives.
Participate in process-improvement and automation projects that reduce manual effort and improve accuracy.
Identify and implement opportunities to use AI technologies to enhance analysis and productivity and support better business decisions.