Sr Data Analyst
Job ID : 38111
Job Title : Sr Data Analyst
Location : Charlotte, NC
Comapny Name : Apollose
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $25000 - $35000 per year
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 11-29-2024
Required Skills : Data visualization, Presentation skills, Machine learning.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Responsibilities:
- Formulate and define schedule logic to ensure meeting baseline milestones and award fee objectives.
- Analyze schedule performance for progress and trends and recommend corrective actions to remove or mitigate potential problems or constraints.
- Review established planning technology and methodology.
- Recommend improvements or alternatives in order to maximize utilization of department schedules and resources..
- Demonstrate proficient ability and knowledge in the development of project milestone schedules to establish optimum conditions and effective utilization of resources.
- Aid in establishing project milestones related to specific scheduled activities and obtain management concurrence where necessary.
- Analyze variance from the schedule baseline and make recommendations to management for corrective action.
- Provide supervision and guidance to others in planning and scheduling activities along with oversight and monitoring of essential or critical planning activities.
- Provide and disseminate guidance, instruction and rules for proper and effective scheduling functions within the area assigned.
- May assume a lead role in planning/scheduling of a single large project, facility, or a single department or program.
Key Skills:
- Structured Query Language.
- Microsoft Excel.
- Critical thinking.
- R or Python statistical programming.
- Data visualization.
- Presentation skills.
- Machine learning.
Company Details :
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