Remote Target Data Analyst Jobs in Texas (NOW HIRING)

Are you looking for your next challenge? Are you ready to work with a performance-based small company? At Zantech, we are a dynamic Woman Owned Small Business focused on providing complex, mission-focused solutions with a proven track record of outstanding customer performance and high employee satisfaction. We would love to talk with you regarding the next step in your career. Come join our team!

Zantech is looking for a talented Data Analyst to contribute to the success of our upcoming Information Technology Support Services project for a Remote role, with a 5% to 20% Travel requirement.

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis, predictive analytics, data visualization, and Machine learning support and data modeling in support of the 88th RD AO.

Summary:

The Data Analyst provides distributed data analysis support across the 88th RD Area of Operations. This analyst applies advanced statistical techniques, builds data models, and creates visualizations to support G6 initiatives and improve readiness. Coordinates closely with the on-site team.

Responsibilities include, but will not be limited to:

• Perform remote data collection, cleaning, transformation, and analysis
• Apply statistical methods and machine learning techniques to datasets
• Develop visualizations and dashboards using Tableau, Power BI, or similar tools
• Deliver actionable recommendations to stakeholders at technical and non-technical levels
• Coordinate with on-site Fort McCoy DABAL team and COR/DGR
• Stay updated on emerging data analysis technologies

Required Experience or Knowledge of the following technologies/functions:

• 2-3 years of relevant data analysis experience.
• Strong understanding of statistical concepts, data analysis methodologies, and business operations
• Experience with Python, R, SQL, and advanced Excel
• Experience with data modeling, predictive analytics, and machine learning techniques
• Experience with Tableau, Power BI, or similar data visualization platforms
• Working knowledge of hypothesis testing, regression analysis, and time series analysis
• Ability to collect, clean, transform, and manipulate large datasets
• Strong analytical, problem-solving, and communication skills
• Ability to work independently in a self-starting, remote environment

Required Education:

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
• 2-3 years of relevant data analysis experience
• Education Preferred:
• Bachelor's d Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or Data Science

Required Certifications:

• DoD Cyber Awareness Training (required prior to network access and annually thereafter; IAW DoDD 8140.01/DoDM 8140.03/AR 25-2)
• AT Level I Awareness Training (within 30 calendar days of performance start)
• iWATCH Army Training (within 30 calendar days of performance start)
• ATCTS (Army Training Certification Tracking System) registration required
• Preferred Certifications:
• Microsoft Certified: Data Analyst Associate (Power BI)
• Tableau Desktop Specialist or Certified Data Analyst
• SAS Certified Data Scientist or equivalent

Required Security Clearance:

• US Citizenship and the ability to obtain and maintain a NACI or higher clearance, per contract requirements.

Other Requirements:

• Required training includes DoD Cyber Awareness, AT Level I, iWATCH, and ATCTS registration.
• Travel requirements vary (5-25%) annually

"Outstanding Performance...Always!"

Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!

Employment Type: FULL_TIME