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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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