Remote-Ready Part-Time Data Mining Analyst

Woopel; Los Angeles (CA); On-site; USD 13,000 - 16,000; Part time

Job summary

Woopel in Los Angeles is seeking a Data Mining Analyst to analyze large datasets, identify patterns and provide data-driven insights for business decisions. The role involves building models, creating dashboards, and collaborating with multiple teams to translate data into actionable solutions.

Requirements include a Bachelor’s in a quantitative field and at least 2 years of data analytics experience, with proficiency in SQL and Python/R, plus Tableau or Power BI for visualization.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field
• At least 2 years of experience in data mining or analytics role
• Proficient in SQL, Python or R for data analysis
• Familiarity with data visualization tools such as Tableau or Power BI

Responsibilities

• Conduct data mining activities on large datasets using various tools and techniques
• Identify patterns and trends in data to provide insights for decision-making
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
• Develop algorithms and models to analyze data and make predictions
• Create reports, visualizations and dashboards to communicate findings to stakeholders
• Continuously monitor data quality and make recommendations for improvements
• Stay updated on industry trends and advancements in data mining techniques

Skills

SQL

Python/R

Data visualization

Data analysis

Data mining

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Tools

Tableau

Power BI

SQL databases

Job description

Woopel in Los Angeles is seeking a Data Mining Analyst to analyze large datasets, identify patterns and provide data-driven insights for business decisions. The role involves building models, creating dashboards, and collaborating with multiple teams to translate data into actionable solutions.

Requirements include a Bachelor’s in a quantitative field and at least 2 years of data analytics experience, with proficiency in SQL and Python/R, plus Tableau or Power BI for visualization.