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Data Analyst

Job ID : 35164

Job Title : Data Analyst

Location : Claremont, CA

Comapny Name : VISART

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

Industry : Information Technology

Salary :  $167000 - $179000  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 : 10-23-2023

Required Skills : Writing, communication, Domain knowledge.

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

Job Description :

Responsibilities:

  • Work closely with Sales to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
  • Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
  • Create and maintain rich interactive visualizations through data interpretation and analysis.
  • Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets.
  • Drafting reports for use in customer presentations.
  • Competitive research in regards to products and pricing.

 Qualifications:

  • Three or more years of experience mining data as a data analyst.
  • Proven analytics skills, including mining, evaluation, and visualization.
  • Ability to write well and generate reports on market activity for our business.
  • Ability to think from a consumer perspective and understand buying behavior.
  • Analytical, creative, and goal-driven thinking.
  • You have strong interpersonal skills and can build relationships with and influence stakeholders.
  • You are organized and able to juggle multiple priorities and deliverables.

Key Skills:

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

Company Details :

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