Senior Data Analyst

Job Title: Senior Data Analyst

Reports to: Corporate Information Technology Director

Location:

On-site at our office in Idaho Falls, ;
Antigo, WI; or Wausau, WI. Preference will be given to candidates located within commuting distance of our Idaho Falls, Wausau, or Antigo, Wisconsin offices due to the collaborative nature of the role.

The Senior Data Analyst is responsible for delivering reliable, accurate, and scalable reporting solutions across Dynamics 365 Finance & Operations, CE, Lasernet, and Power BI. The role serves as the organization’s senior technical resource for enterprise resource planning (ERP) based reporting, supporting Volm Companies financial, equipment, and other operational teams by translating complex business requirements into well designed data models, reports, and analytical outputs.

The position utilizes deep domain knowledge, technical execution, and coordination across reporting efforts rather than exploratory data science or statistical research.

• Serve as the senior technical expert for Dynamics 365 Finance & Operations reporting data, including understanding ERP data structures, entities, and reporting implications.
• Design, develop, and maintain Power BI semantic models that provide standardized, reusable datasets for Finance and operational reporting.
• Develop and maintain critical Power BI reports and dashboards, ensuring accuracy, performance, usability, and alignment with business requirements.
• Design, maintain, and support Lasernet reports, particularly where operational, regulatory, or document generation needs require it.
• Translate business reporting requirements into technical implementations, partnering closely with Finance and operational stakeholders.
• Implement clearly defined business rules and metrics using SQL, Power Query, and DAX, ensuring logic is transparent and traceable.
• Provide technical leadership across reporting efforts, helping coordinate work, identify dependencies, and reduce duplication or inconsistent designs.
• Support reporting for newly implemented or evolving D365 modules.
• Perform technical validation and troubleshooting of reports, identifying data issues related to sourcing, timing, transformations, or model behavior.
• Develop and maintain reporting documentation, including semantic model details, key metrics, assumptions, and report dependencies.
• Mentor and support other reporting team members, sharing best practices for Power BI, Lasernet, and ERP reporting.
• Coordinate with IT leadership on reporting priorities and sequencing, providing input on effort, complexity, and delivery timing.
• Utilize Microsoft Fabric and related tools as appropriate to improve reporting consistency, performance, and scalability.
• Help reduce operational risk by promoting standardized designs and shared knowledge, minimizing reliance on single person expertise.

• Ability to establish priorities, lead projects, and proceed with objectives without direct supervision.
• Ability to work effectively with people across different teams, departments, and physical locations.
• Ability to break down complex problems into smaller, manageable parts.
• Ability to present information and recommendations in verbal, written, and presentation forms in a clear and concise manner.
• Capacity to think critically, troubleshoot, and problem solve.
• Ability to note and address small errors or inconsistencies in products or processes.
• Ability to maintain a positive and professional demeanor in all interactions.
• Willingness to be open to new ideas and pivot when necessary.

• Knowledge of information enterprise reporting, business intelligence, and data analytics normally acquired through completion of a bachelor’s degree in computer science, information systems, statistics, or related field; and/or equivalent work experience.
• Minimum of 5years of hands-on experience in enterprise reporting or data analytics.
• Demonstrated experience with Dynamics 365 Finance & Operations and CE data.
• Proficiency with Microsoft Fabric, Power BI including semantic models, data analysis expressions (DAX), row-level security, and performance tuning.
• Strong SQL…