Data Technician

Carylon Corporation•Fort Worth, TX

28d•$28 - $30•Onsite

About The Position

Ace Pipe Cleaning About us: Ace Pipe Cleaning, Inc. is a leader in the field of trenchless rehabilitation in the United States, and part of the Carylon Corporation, which includes fourteen companies that provide environmental maintenance services across the country. Our headquarters is in Kansas City, MO with branch operations in St. Louis, Fort Worth, San Antonio, and Nashville. Job Description: We are currently seeking a full-time Data Technician in our Fort Worth, TX office. We are looking for someone who can take ownership of multiple projects at a time and produce high quality data deliverables. You will have the ability to take projects from start to finish independently. Job Details: Position: Data Technician Where: Fort Worth, TX Shift: Monday-Friday, Days Pay : $28-$30/hour plus overtime. Full benefits Health, Dental, Vision, 401K, Paid Time Off, Retirement, Life Insurance, ESOP

Requirements

3 years experience in a data related position
Intermediate experience with SQL Server
Advanced experience with Microsoft Excel
Working knowledge of the Microsoft Suite
Experience working with large amounts of data
Experience in data quality assurance
Strong communication
Ability to multi-task to meet deadlines for multiple jobs
Extremely keen troubleshooting abilities
Strong typing ability
Strong attention to detail

Nice To Haves

Knowledge of GIS (specifically ArcGIS Online or Enterprise)
Bachelors Degree in data science field

Responsibilities

Gain an in-depth knowledge of current and upcoming project contracts
Run analysis on incoming data to ensure all data has been received
Complete initial quality check and make corrections to data
Communicate clearly and regularly with the Data Manager
Provide frequent and accurate status reports
Make final data analysis against multiple sources for redundancy
Produce properly formatted data deliverables and reports ready for client use
Provide technical support to clients as needed for interpreting and using data deliverables