Associate Data Analyst

The Dolese Promise is built on a foundation of integrity driven by our passion for quality, safety, and reliability. We are one of Oklahoma's most respected employee-owned companies because of our people and our values. We strongly believe in positively impacting our communities through our products, our actions, and our financial support.

Being a part of the Dolese team affords a unique opportunity to join an organization that rewards its owners through profit sharing. Our employees are one of our most important resources, which is why we promise to deliver.

Dolese Delivers:

• Stable Foundation
• Treat with Respect
• Safe Environments
• Employee Focus

JOB SUMMARY                            

Grow your career with a company built on Safety, Integrity, Teamwork, and Stewardship. As an Associate Data Analyst at Dolese, you will support the analytics team by assisting with data preparation, basic analysis, and reporting activities that help inform business and operational decision-making. In this role, you will assist with data validation, report and dashboard updates, documentation, and responding to routine data requests. This entry-level role is ideal for someone with strong analytical aptitude and a desire to build a career in data analytics and business intelligence.

WHY JOIN US                              

We are people, building communities from the ground up. For our employees, we are focused on building careers. Joining our team means:

• Stability & Legacy: Be part of a company with more than a century of success, operational excellence, and a strong commitment to our employees.
• Growth Opportunities: Gain hands-on exposure to data analysis, reporting, and BI tools while developing core analytics skills that support long-term growth in the data and analytics field.
• Impactful Work: Your contributions help ensure reliable data and reports that support day-to-day operations and informed decision-making across the organization.
• Supportive Culture: Our employees support one another and our customers through our service values: Champion Kindness, Incite Enthusiasm, Build Relationships, and Provide Innovative Solutions. We value collaboration, integrity, and continuous improvement.

KEY RESPONSIBILITIES/ESSENTIAL FUNCTIONS

Data Analysis & Reporting Support

• Assist with analyzing datasets to identify basic trends, patterns, and data quality issues.
• Perform routine data validation, data preparation, and basic analytical tasks following established procedures.
• Support preparation of analysis outputs, summaries, and documentation.
• Use approved analytics and reporting tools to support routine data requests.

Data Preparation & Data Quality

• Assist with preparing datasets for reporting and analysis using defined data sources.
• Perform data quality checks and support documentation of data issues and resolutions.
• Follow data governance standards and escalation processes under guidance from team members.
• Support routine data updates and maintenance tasks following established procedures.

Reporting & Dashboard Support

• Assist with building and updating reports and dashboards using established templates and standards.
• Validate report outputs for accuracy and completeness prior to distribution.
• Perform routine updates to reports based on defined requirements and instructions.
• Learn and apply reporting best practices with guidance and oversight.

Business Support & Requirement Documentation

• Support business requests by gathering requirements and documenting reporting needs.
• Assist in coordinating with stakeholders to clarify data requests and reporting expectations.
• Communicate analysis results and report outputs with support from the analytics team.

Learning & Development

• Participate in training and development activities to build analytics, BI, and data skills.
• Learn and follow established analytics processes, tools, and documentation standards.
• Incorporate feedback from team members and stakeholders to improve analytical accuracy and effectiveness.

QUALIFICATIONS

Education & Experience

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or related field required.
• Academic project experience involving data analysis or reporting preferred.
• Basic knowledge of SQL, data querying, or data visualization tools (Power BI) preferr