Data Services Analyst

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.