Data Analyst at TOTH AND ASSOCIATES INC in Springfield, Missouri

Posted in Information Technology about 2 hours ago.

Type: Full-Time

$22.00 - $30.00 per hour




Job Description:

TOTH is a full-service engineering firm specializing in electric utility engineering, structural engineering, civil engineering, land surveying, and GIS/mapping. We serve a wide range of clients, including public and private utilities, municipalities, architects, and educational institutions across the country. 

 

TOTH’s leadership prioritizes clients and employees in decision-making, contributing to rapid and continued growth. Our team, comprising dedicated employees and officers, is a dynamic and innovative group that fosters professional growth at every level. TOTH provides fulfilling career opportunities, comprehensive professional development, competitive compensation, and a robust benefits package. 

 

Our exceptional cultural environment has earned us several accolades, including a 2024 ranking as #15 in the country in Best Places to Work in Engineering by Best Companies Group; a 2024 ranking as one of the Ten Best Places to Work in Springfield, MO, by Biz417 in the Large Employers category; a 2024 recognition as the 8th Fastest Growing Company in Springfield in the Dynamic Dozen by the Springfield Business Journal; and a recognition for our positive economic impact in the region in the Springfield Business Journal’s 2024 Economic Impact Awards.

 

Visit our website at www.tothassociates.com to learn more about our company.

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will transform data into actionable insights, support data-driven decision-making, and contribute to the strategic goals of our organization.

Summary:

The Data Analyst supports a wide range of electrical engineering projects by collecting, analyzing, and interpreting data to provide actionable insights that drive decision-making and project performance.

Duties and Responsibilities:


  • Collect, organize, and analyze large amount of information from various internal and external sources with attention to detail and accuracy

  • Perform data extraction, validation, and manipulation to ensure accurate study inputs

  • Assist engineers in conducting studies utilizing Excel, industry modeling software, and other tools

  • Develop and optimize data processing tools, macros, or scripts to streamline data analysis workflows

  • Work with large databases using tools such as Access, SQL, and Excel

  • Support the preparation of presentations and technical documents for clients based on study findings

  • Identify opportunities for process improvement through data analysis and recommend best practices for data-driven decision-making

  • Ensure the accuracy and integrity of data by conducting regular audits, validation checks, and troubleshooting data-related issues


  • Bachelor’s degree in Mathematics, Physics, Computer Science, or a related field, is preferred but not required

  • Completion of college-level Calculus I & II is required

  • 1-2 years of experience in data analysis, preferably within an engineering, construction, or consulting environment, is preferred but not required

  • Excellent written and verbal communication skills, with the ability to translate data findings into actionable insights for diverse audiences

  • Strong analytical thinking and problem-solving skills

  • Self-motivated and driven to complete work with minimal supervision

  • Initiative to look for new challenges and opportunities

  • Organized and detailed oriented

  • Ability to learn quickly from reading and oral instructions

  • Proficient with Microsoft Office Suite (Excel, Word, Outlook).


  • Paid Time Off (PTO)

  • Eight paid holidays

  • Company-paid medical and dental coverage with buy-up options

  • Vision

  • Company-paid life insurance and long-term disability insurance

  • Supplemental life insurance available

  • Short-term disability available

  • FSA and HSA options

  • 401(k) w/company matching and profit sharing

  • Discretionary bonuses

  • Education assistance





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