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# Data Analyst

- **Company:** Qureos Inc
- **Location:** Spanish Fork, UT, United States
- **Salary:** $93,600.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Cleansing, Power BI, SQL Databases, Tableau (Software), Information Technology
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b1119655d7042e59

## About the Role

* Proven experience working as a Data Analyst or in a similar analytical role.
 * Strong proficiency in data analysis software and tools, such as Microsoft Excel, SQL, and business intelligence platforms (e.g., Tableau, Power BI).
 * Excellent analytical and problem-solving skills with a high level of attention to detail and accuracy.
 * A degree in a relevant field such as Mathematics, Statistics, Computer Science, or Economics is highly desirable.
 * Strong communication and presentation skills, with the ability to convey complex information in a clear and concise manner.
 * A proactive and independent worker who can manage multiple tasks and meet deadlines effectively.
 * Experience within the construction or trade services industry would be an advantage but is not essential.

## Description

* Collect, interpret, and analyse data related to project costs, labour efficiency, and material usage to identify trends and opportunities for improvement.
 * Develop and maintain dashboards, reports, and visualisations to track key performance indicators (KPIs) for senior management.
 * Analyse sales and client data to understand market trends, measure customer satisfaction, and support strategic planning.
 * Provide data-driven recommendations to optimise pricing strategies, resource allocation, and operational workflows.
 * Collaborate with project managers and other departments to understand their data requirements and provide analytical support.
 * Ensure the accuracy and integrity of data within our company systems, performing regular data cleansing and validation.
 * Prepare comprehensive reports and presentations to communicate findings and insights clearly to both technical and non-technical stakeholders.


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