Data Mining & Insights Analyst

EliteHire; Akron (OH); On-site; USD 10,000 - 20,000; Full time

Job summary

EliteHire is seeking a Data Mining Analyst in Akron to extract and analyze large data sets from multiple sources, identify patterns, and translate findings into actionable insights. The role requires meticulous attention to detail and the ability to communicate complex data effectively.

You will build reports and visualizations, collaborate with cross-functional teams to meet data needs, and contribute to improving data collection processes while ensuring data accuracy and quality.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Proven experience in data mining or analysis.
• Proficiency in SQL, Python, R or other programming languages used for data analysis.
• Strong analytical skills with the ability to collect, organize and analyze large datasets.
• Excellent written and verbal communication skills.
• Attention to detail with the ability to spot errors or inconsistencies in data.
• Prior experience working with databases is preferred.

Responsibilities

• Collecting, organizing, and analyzing large sets of data from various sources.
• Identifying patterns and trends within the data.
• Creating reports and visualizations to present data findings.
• Collaborating with different teams to understand their data needs and provide insights.
• Developing strategies for improving data collection processes.
• Ensuring accuracy of data by performing regular quality checks.

Skills

Data mining

Analytical

Communication

Attention to detail

Education

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

Tools

SQL

Python

R

Job description

EliteHire is seeking a Data Mining Analyst in Akron to extract and analyze large data sets from multiple sources, identify patterns, and translate findings into actionable insights. The role requires meticulous attention to detail and the ability to communicate complex data effectively.

You will build reports and visualizations, collaborate with cross-functional teams to meet data needs, and contribute to improving data collection processes while ensuring data accuracy and quality.