Supply Chain Data Analyst
ASRC Federal Reston, Virginia, United States
Information Technology & Services · 201-500 employees
About the role
The Supply Chain Data Analyst will develop, mine, and model data to inform supply chain solutions and improve operational efficiencies. They will also conduct quantitative analysis to identify supply/demand forecasts and act as a liaison with business managers.
What they look for
Requirements
Candidates must possess a bachelor's degree in a technical field and at least 8 years of experience in supply chain management or logistics. Proficiency in Python, SQL, and Tableau, along with the ability to obtain a government security clearance, is required.
Benefits
Full description
ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
We are seeking a highly analytical Supply Chain Data Analyst to support critical supply chain, logistics, operations and growth initiatives.
Responsibilities:
• Develops, inspects, mines, transforms, and models data to inform supply chain solutions, increase efficiencies, mitigate risk, improve decision making, and gain competitive advantage to support supply chain and logistics business initiatives.
• Conducts quantitative and qualitative analysis on data to generate insights to identify supply/demand forecasts, inventory requirements, readiness degraders, and other key supply chain metrics.
• Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business managers
• Evaluating, visualizing, and performing analysis on data sets
• Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models
• Recommends operational plans and strategies that will directly impact the achievement of overall functional results
• Responsible for improving existing processes and systems using significant conceptualizing, reasoning and interpretation
Basic Qualifications:
- Bachelor's degree in technical fields such as operations research, math, engineering, data analytics
- 8+ years of experience in supply chain management, logistics, industrial base analysis or acquisition support.
- 8+ years of experience in using analytic tools such as Python, SQL, and Tableau to perform data exploration and analysis.
- Demonstrated experience using modeling and simulation tools for supply chain and logistics forecasting tools.
- Strong quantitative, analytical, and research skills.
- This position requires the ability to obtain and maintain a government clearance; U.S. Citizenship is required.
- This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s).
- Proven ability to utilize extensive analysis to seek understanding problems.
- Strong collaboration skills
- Proven ability to communicate effectively with senior leaders.
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.
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