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IT Data Analyst - Junior

Role overview

Qualifications

  • Bachelor's degree (Preferred)
  • Data cleansing and preparation: 2 years (Preferred)
  • Data analysis and exploration: 2 years (Preferred)
  • Pattern and trend identification: 2 years (Preferred)

Responsibilities

  • Collaborate with divisions to understand business needs and perform data mining and data QA
  • Perform data cleansing and preparation, data visualization, and pattern/trend identification using division data and external data to forecast future needs
  • Apply regression models such as logistic regression, linear regression, and polynomial regression to analyze data
  • Conduct analysis, visual design, development, testing and implementation, and prepare technical and user documentation

About the company

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Job description

Description

The client is seeking a candidate who will:
1. Work with Divisions to understand their business and perform data mining and data QA
2. Using division data and external data, be able to perform data cleansing and preparation, data visualization, pattern and trend identification and predict future needs
3. Use of regression models such as logistic regression, linear regression and polynomial
4. Analysis, visual design, development, data analysis, testing and implementation, technical and user documentation.

Job Types: Full-time, Contract, Temporary

Pay: $35.00 - $39.00 per hour

Schedule:

  • 8 hour shift
  • Day shift
  • Monday to Friday

COVID-19 considerations:
'

Ability to commute/relocate:

  • Raleigh, NSW: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Can you work on a W2 or 1099?
  • What is your desired contract hourly rate?

Education:

  • Bachelor's (Preferred)

Experience:

  • Data cleansing and preparation: 2 years (Preferred)
  • Data analysis and exploration: 2 years (Preferred)
  • Pattern and trend identification: 2 years (Preferred)
  • Statistical modeling: 2 years (Preferred)
  • Regression modeling: 2 years (Preferred)
  • Problem solving and troubleshooting: 1 year (Preferred)
  • Classification Models: 1 year (Preferred)
  • Tableau or Power BI: 1 year (Preferred)

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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