Data Services Analyst

DMSi Software; Omaha (NE); On-site; USD 80,000 - 110,000; Full time

Job summary

DMSi Software is seeking a Data Services Analyst to design and deliver custom data solutions across reporting, BI dashboards, data transformations, and system integrations. You will work with an expanding tech stack, using AI tools to improve efficiency and workflows.

This role emphasizes problem-solving, collaboration, and growth with the product ecosystem. The ideal candidate has strong SQL, BI tooling, and ETL skills, plus a degree in a related field and 3–5 years of experience.

Qualifications

• SQL/query proficiency and BI tools experience.
• ETL/data lineage and database fundamentals.
• Experience with AI tools to improve workflows.
• Strong problem-solving and attention to detail.

Responsibilities

• Evaluate and manage customer requests, scope solutions, design and execute plans.
• Develop and deliver custom data solutions including reports, data extractions, BI dashboards and integrations.
• Use AI tools to speed up work and build AI-assisted workflows.
• Build proficiency in DMSi product and integration ecosystem; stay current with platforms.
• Maintain knowledge of internal support tools and delivery processes.
• Assist others with escalation, coaching, and training on data topics.
• Complete documentation and contribute to the Knowledge Base.
• Lead or assist training for internal staff, customers, and prospects.
• Support internal projects to meet departmental objectives.

Skills

SQL

BI tools

ETL

Education

College degree in Data Science/CIS/MIS/SCM/Business

Tools

Cyberquery

GitHub

Workato

Job description

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including custom reporting, business intelligence dashboards, data transformations, and system integrations. The right candidate is execution-focused, intellectually curious, and eager to grow alongside an expanding technology stack. They will bring a strong aptitude for problem-solving, a collaborative mindset, and a genuine interest in using AI tools to work smarter and help the team build more efficient workflows.

Responsibilities And Duties

• Evaluate and manage customer requests using internal systems, including the ability to scope, quote, design a solution, and execute on the project plan.
• Develop and deliver custom data solutions, including report writing, data extractions, forms customization, business intelligence dashboards, and system integrations.
• Use AI tools and assistants as a standard part of daily work to increase efficiency and contribute to the team’s development of AI-assisted workflows and internal tooling
• Build proficiency in DMSi’s evolving product and integration ecosystem, including current and emerging platforms.
• Develop and maintain an advanced working knowledge of DMSi’s internal support tools and delivery processes.
• Assist other DMSi personnel through escalation support, coaching, and training on data-related topics.
• Complete documentation related to job responsibilities and contribute to the DMSi Knowledge Base.
• Lead, attend, or assist with training for internal personnel, customers, and prospects.
• Assist with internal projects to support departmental and organizational objectives.

Knowledge, Skills And Abilities

Technical: SQL/query proficiency (Cyberquery a plus), BI tools (Power BI, Phocas, Tableau, etc.), ETL/data lineage and database fundamentals (schemas, indexes, keys).

Analytical: Genuine curiosity paired with strong problem-solving, research, and the ability to work independently through ambiguous business challenges.

AI-forward: Comfortable using AI tools (Claude, Copilot) to speed up and improve work quality.

Quality-focused: High attention to detail, diagnoses issues correctly and validates solutions before customers see them.

Technical collaboration: Familiar with integration/automation (Workato or similar), comfortable with code reviews and tools like GitHub.

Execution: Prioritizes well, works under pressure, hits deadlines.

People skills: Communicates clearly, builds relationships across all levels (including customers/vendors), exercises tact and keeps confidentiality.

Education And Experience

College degree in Data Science, Computer Information Systems (CIS), Management Information Systems (MIS), Supply Chain Management, Business, or a related discipline preferred; 3-5 years of equivalent work experience in a relevant field will be considered.

Work Environment And Physical Demands

Normal office environment with use of computers and telephone systems; no unusual physical demands.

Travel as needed, including business air travel and car rental.