Data Mining Specialist

NexaVision; Norway; On-site; NOK 143,000 - 172,000; Full time

Benefits offered by this job

Medical insurance

Vacation time

Job summary

NexaVision is seeking a Data Mining Specialist to analyze large datasets, develop algorithms, and extract actionable insights to inform strategic business decisions. You will leverage SQL, Python, and R for data processing, with a focus on patterns and trends that drive growth.

The role requires strong analytical skills, attention to detail, and the ability to communicate complex findings clearly. Experience with Tableau or Power BI and machine learning familiarity is a plus; growth within a

Qualifications

• Bachelor's degree in Computer Science, Statistics, Economics or related field.
• Minimum of 2 years experience in data mining or related field
• Proficient in SQL, Python, R or other programming languages
• Strong understanding of statistical concepts and predictive modeling techniques
• Experience with data visualization tools such as Tableau or Power BI
• Familiarity with machine learning algorithms is a plus
• Ability to work independently with minimal supervision
• Excellent communication skills, both written and verbal

Responsibilities

• Collect, organize, clean, and analyze large datasets using advanced data mining techniques
• Develop and implement algorithms to extract insights from structured and unstructured data sources
• Identify patterns and trends in data that can inform business decisions
• Collaborate with cross-functional teams to understand business needs and provide analytical support
• Communicate findings through visualizations, reports, or presentations to stakeholders at all levels
• Continuously monitor data quality to ensure accuracy of results
• Stay updated on industry trends and advancements in the field of data mining

Skills

SQL

Python

R

Analytical thinking

Data visualization

Communication

Independent work

Education

Bachelor's degree

Master's degree

Tools

Tableau

Power BI

Hadoop

Spark

Job description

Data Mining Specialist

As a Data Mining Specialist, you will be responsible for analyzing large amounts of data to identify patterns and trends. You will utilize various data mining tools and techniques to collect, organize, and analyze complex data sets. Your role will involve developing algorithms and models to extract insights and inform strategic business decisions. You must have strong analytical skills, attention to detail, and the ability to communicate complex data findings in a clear and concise manner. This position offers opportunities for growth and development within a dynamic team environment.

Requirements

• Bachelor's degree in Computer Science, Statistics, Economics or related field
• Minimum of 2 years experience in data mining or related field
• Proficient in SQL, Python, R or other programming languages
• Strong understanding of statistical concepts and predictive modeling techniques
• Experience with data visualization tools such as Tableau or Power BI
• Familiarity with machine learning algorithms is a plus
• Ability to work independently with minimal supervision
• Excellent communication skills, both written and verbal

Responsibilities

• Collect, organize, clean, and analyze large datasets using advanced data mining techniques
• Develop and implement algorithms to extract insights from structured and unstructured data sources
• Identify patterns and trends in data that can inform business decisions
• Collaborate with cross-functional teams to understand business needs and provide analytical support
• Communicate findings through visualizations, reports, or presentations to stakeholders at all levels
• Continuously monitor data quality to ensure accuracy of results
• Stay updated on industry trends and advancements in the field of data mining

Preferred Qualifications

• Master's degree in Data Science or related field
• Experience with big data platforms such as Hadoop or Spark

Salary: 1500$ per month + benefits

• medical insurance
• vacation time

Location: US (free visa & ticket available)

Nationality preference: None (all qualified candidates are encouraged to apply)