About Zantech
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Tysons Corner, VA, US
Year founded
2007
Job description
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 an On-site role at Fort McCoy, WI.
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 (525%) annually
Outstanding PerformanceAlways!
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!
zantechit.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
