Data Mining Analyst: Turn Big Data into Insights

StarsOfTheShow

Las Vegas (NV)

On-site

USD 17,000 - 21,000

Full time

14 days+

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Benefits offered by this job

Accommodation provided by company

Job summary

StarsOfTheShow in Las Vegas, NV, is seeking a Data Mining Analyst to extract insights from large data sets and identify patterns and trends. The role focuses on modeling, reporting, and collaborating with cross-functional teams to meet business objectives.

The position is full-time (40 hours/week) with accommodation provided. A Bachelor's degree in CS/Statistics or related field and experience in data mining are required; proficiency in SQL, Python, and R is expected.

Qualifications

  • Bachelor's degree in Computer Science, Statistics, or a related field.
  • Proven experience in data mining or related role.
  • Proficiency in SQL, Python, R, or other programming languages used for data analysis.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Detail-oriented with excellent organizational skills.
  • Ability to work independently as well as collaboratively with a team.

Responsibilities

  • Collect and analyze large sets of data, identifying patterns and trends
  • Develop and implement data mining models and algorithms
  • Collaborate with cross-functional teams to understand business objectives and determine data mining needs
  • Create reports and visualizations to present findings to stakeholders
  • Identify opportunities for process improvement through data analysis
  • Stay updated on industry trends and advancements in data mining techniques

Skills

Strong analytical skills
Detail-oriented
Team collaboration

Education

Bachelor's degree in Computer Science/Statistics or related field

Tools

SQL
Python
R

Job description

StarsOfTheShow in Las Vegas, NV, is seeking a Data Mining Analyst to extract insights from large data sets and identify patterns and trends. The role focuses on modeling, reporting, and collaborating with cross-functional teams to meet business objectives.

The position is full-time (40 hours/week) with accommodation provided. A Bachelor's degree in CS/Statistics or related field and experience in data mining are required; proficiency in SQL, Python, and R is expected.

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