Part-Time Data Mining Analyst — Pattern Discovery

Ecojob; Las Vegas (NV); On-site; USD 14,000 - 17,000; Part time

Job summary

Ecojob is seeking a Data Mining Analyst in Las Vegas to collect, organize, and analyze large data sets, identifying patterns and trends. The role emphasizes strong analytics, data-mining tool experience, and clear presentation of findings to guide business decisions.

The ideal candidate will have a Bachelor's degree in a related field, 2+ years of experience, proficiency in SQL and Python, and experience with Tableau/SAS/R to derive actionable insights.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science or related field.
• Minimum of 2 years experience in a similar role.
• Strong knowledge of SQL, Python or other programming languages.
• Experience with data mining tools such as Tableau, SAS, or R.
• Excellent analytical skills with the ability to interpret complex data sets.
• Strong attention to detail.
• Excellent communication skills.

Responsibilities

• Collecting, organizing, and analyzing large sets of data using data mining tools
• Developing algorithms and models to identify patterns and trends in the data
• Collaborating with other team members to determine key business questions that can be answered through data analysis
• Presenting findings in a clear and concise manner
• Identifying new sources of data that could enhance our analysis
• Ensuring accuracy and integrity of all data collected and analyzed

Skills

SQL

Python

Education

Bachelor's degree in statistics, mathematics, computer science or related field

Tools

Tableau

SAS

R

Job description

Ecojob is seeking a Data Mining Analyst in Las Vegas to collect, organize, and analyze large data sets, identifying patterns and trends. The role emphasizes strong analytics, data-mining tool experience, and clear presentation of findings to guide business decisions.

The ideal candidate will have a Bachelor's degree in a related field, 2+ years of experience, proficiency in SQL and Python, and experience with Tableau/SAS/R to derive actionable insights.