Lidar Analyst - Hybrid

#Tech-Pro-Admin-01
Job Summary

We are seeking a skilled professional for a hybrid role located in Lafayette, LA, Fredericks, MD or Houston, TX. The position requires in-office work from Monday to Wednesday, with remote work on Thursday and Friday.

Key Responsibilities

• Delivery Excellence:
  • Process lidar data according to project-specific requirements, including boresight, TerraScan macro development, manual editing/QC, and generation of derived products.
  • Perform independent quality reviews of other staff members' work.
  • Conduct final quality reviews to verify conformance to specifications and requirements.
  • Understand factors affecting production, such as time allotted, quality and quantity metrics, and project specifications.
  • Recognize and solve problems in a timely manner to keep projects on schedule, using independent judgment to determine courses of action.
  • Assist the technical/team lead or department supervisor in scheduling and expediting work processes.
     
• Sharing Information:
  • Report to the technical/team lead or department supervisor on project status and any matters that may negatively affect product quality.
  • Offer technical support and input for the team, management, peers, and clients regarding procedures and specifications.
  • Provide written and oral reports on technical and professional issues as needed.
     
• Innovation & Continuous Improvement:
  • Exercise creativity in identifying opportunities to streamline workflows and increase efficiency through data-driven insights and process improvements.
  • Recommend improvements to existing processes and procedures based on data analysis findings.
  • Stay up-to-date with industry trends and advancements in analytical tools and techniques; recommend tools or methods that could enhance analytical capabilities.
  • Assist in creating and enforcing information security standards, policies, and procedures.

Qualifications

• Bachelor's Degree in a related discipline from an accredited college or university.
• A minimum of two (2) years of relevant experience.
• Experience in data analytics, business intelligence, or project performance analysis.
• Proficiency with data tools such as Excel, SQL, Power BI, Tableau, or Python/R.
• Strong understanding of project environments and performance measurement.
• Excellent communication skills and the ability to translate data into actionable recommendations.
• Detail-oriented with a proactive approach to problem-solving and workflow improvement.

Preferred Qualifications

• Proficiency with Microsoft Power Platform, including Power Apps, Power Automate, and Power BI, to enhance data analysis and streamline workflows.
• Strong understanding of all stages in a project lifecycle and delivery approaches, e.g., waterfall, agile, etc.