Part-Time Data Mining Analyst - Flexible Hours & Insights

NextWave Publications; Akron (OH); Sur place; USD 17 000 - 21 000; Temps partiel

Résumé du poste

NextWave Publications in Akron, Ohio, is seeking a Data Mining Analyst for a part-time role. The position focuses on collecting, organizing, and analyzing large data sets to identify patterns and trends, with flexible hours.

Responsibilities include collecting and cleaning data, applying data mining tools (Python, R, SQL), creating visualizations and reports for stakeholders, monitoring data quality, and collaborating with the team to improve data processes.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics or related field
• Proficient in data mining tools such as Python, R, or SQL
• Strong analytical skills with the ability to interpret complex data sets
• Excellent communication skills with the ability to present findings in a clear and concise manner
• Attention to detail and accuracy
• Ability to work independently and within a team

Responsabilités

• Collect and clean large sets of data from various sources
• Use data mining tools and techniques to analyze and extract insights from the data
• Identify patterns, trends, and correlations in the data
• Create visualizations and reports to present findings to stakeholders
• Continuously monitor data quality and make necessary adjustments to ensure accuracy
• Collaborate with team members to develop strategies for improving data collection and analysis processes

Connaissances

Data analysis

Python

R

SQL

Attention to detail

Communication

Team collaboration

Formation

Bachelor's degree in Data Science/Statistics/Mathematics

Outils

Python

R

SQL

Description du poste

NextWave Publications in Akron, Ohio, is seeking a Data Mining Analyst for a part-time role. The position focuses on collecting, organizing, and analyzing large data sets to identify patterns and trends, with flexible hours.

Responsibilities include collecting and cleaning data, applying data mining tools (Python, R, SQL), creating visualizations and reports for stakeholders, monitoring data quality, and collaborating with the team to improve data processes.