Data Mining Analyst: Predictive Insights for Growth

Work in USA; Las Vegas (NV); On-site; USD 10,000 - 12,000; Full time

Job summary

Work in USA is seeking a highly skilled Data Mining Analyst to join our Las Vegas team. The role involves collecting, analyzing, and interpreting large data sets to identify patterns and trends and to help drive informed business decisions.

Responsibilities include developing predictive models, collaborating with cross-functional teams, and presenting insights to senior management. A strong background in SQL, Python, R, and statistics is essential for success in this position.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Proven experience as a Data Mining Analyst or similar role.
• Strong analytical skills with the ability to interpret complex data sets.
• Proficient in SQL, Python, R or other programming languages for data manipulation and analysis.
• Knowledge of statistical methods such as regression analysis, clustering, and time series forecasting.
• Excellent communication skills with the ability to present complex information clearly.

Responsibilities

• Use advanced data mining techniques to collect and analyze large data sets.
• Identify patterns and trends within the data.
• Develop predictive models to forecast future outcomes.
• Collaborate with cross-functional teams to understand business needs and provide insights based on data analysis.
• Communicate findings and recommendations to senior management through reports and presentations.

Skills

SQL

Python

R

Data analysis

Statistics

Education

Bachelor's degree in Mathematics/Statistics/CS or related field

Job description

Work in USA is seeking a highly skilled Data Mining Analyst to join our Las Vegas team. The role involves collecting, analyzing, and interpreting large data sets to identify patterns and trends and to help drive informed business decisions.

Responsibilities include developing predictive models, collaborating with cross-functional teams, and presenting insights to senior management. A strong background in SQL, Python, R, and statistics is essential for success in this position.