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Data Analyst, STEM

Job ID : 34538

Job Title : Data Analyst, STEM

Location : Claremont, CA

Comapny Name : wipros

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $106200 - $107700  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 : 08-28-2023

Required Skills : Writing , communication, Domain knowledge.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsibilities:

  • Work alongside engineering team members with data analysis projects and tasking.
  • Transform disparate data into digestible information.
  • Present and disseminate findings to all technical knowledge levels.
  • Improve existing techniques and devise new techniques to solve security data problems.
  • Independently propose and develop creative solutions to unique problems, potentially leading IR&D projects.
  • Identify and articulate strengths and weaknesses of solutions, conclusions, and problem approaches during technical discussions.

Qualifications:

  • Bachelor’s degree in STEM with 5 years’ experience, Master’s degree in related field with 2 years’ experience, or PhD with 0 years’ experience, or equivalent related work experience.
  • Expert oral and written communication skills with ability to present and write for a variety of audience technical levels.
  • Knowledge of TCP/IP networking concepts.
  • Basic understanding of Cyber Security concepts.
  • Experience storing, organizing and querying data from a variety of sources.
  • Desire to learn basic scripting languages such as Python or R.
  • Excitement about learning new technical subject areas and curiosity about cyber security and big data problems.
  • Must be a sole U.S. Citizen and currently hold a minimum TS/SCI clearance with a Full Scope Polygraph.

Key Skills:

  • Data cleaning and preparation.
  • Data analysis and exploration.
  • Statistical knowledge.
  • Creating data visualizations.
  • Creating dashboards and reports.
  • Writing and communication.
  • Domain knowledge.

Company Details :

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