Data Mining Specialist

AlSaree AutoTechnics

Alta

On-site

NOK 156,000 - 187,000

Full time

14 days+
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Benefits offered by this job

Competitive salary provided
Accommodation provided
Visa sponsorship provided
Growth opportunities

Job summary

AlSaree AutoTechnics in Alta, Norway is seeking a Data Mining Specialist to extract and analyze large datasets and provide actionable insights. The role includes designing and maintaining databases and developing data mining strategies with support from the team.

Applicants with a Bachelor's degree and proficiency in SQL, Python, and data visualization tools will be considered. Training is provided, accommodation and visa sponsorship are offered for the right candidate, with opportunities for

Qualifications

  • Bachelor's degree in CS/Math/Statistics or related field.
  • Strong analytical skills to interpret complex datasets.
  • Proficiency in SQL, Python, or other data analysis languages.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Knowledge of database design principles.
  • Ability to work independently as well as in a team.
  • Excellent communication skills.
  • Attention to detail.

Responsibilities

  • Utilize various data mining techniques to extract meaningful insights from large datasets
  • Analyze data to identify patterns, trends, and correlations
  • Develop and implement efficient data mining strategies
  • Design and maintain databases for efficient storage and retrieval of data
  • Collaborate with other team members to understand business needs and provide relevant insights
  • Prepare reports and visualizations to present findings in a clear and concise manner
  • Keep up-to-date with industry developments in data mining techniques and tools

Skills

SQL
Python
Data analysis
Analytical thinking

Education

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

Tools

Tableau
Power BI

Job description

Data Mining Specialist

As a Data Mining Specialist, you will be responsible for extracting and analyzing large datasets to identify patterns and trends. Your main goal will be to help our company make informed decisions by providing valuable insights from the collected data. You will work closely with our team to develop and implement effective data mining strategies, as well as design and maintain databases for data storage and retrieval. This position is suitable for men with no prior experience, as training will be provided. Accommodation and visa sponsorship will also be provided for the right candidate. This role is based in the city of Alta, Norway.


Key Responsibilities


  • - Utilize various data mining techniques to extract meaningful insights from large datasets

  • - Analyze data to identify patterns, trends, and correlations

  • - Develop and implement efficient data mining strategies

  • - Design and maintain databases for efficient storage and retrieval of data

  • - Collaborate with other team members to understand business needs and provide relevant insights

  • - Prepare reports and visualizations to present findings in a clear and concise manner

  • - Keep up-to-date with industry developments in data mining techniques and tools


Requirements


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

  • - Strong analytical skills with the ability to interpret complex datasets

  • - Proficiency in SQL, Python or other programming languages used for data analysis

  • - Experience with data visualization tools such as Tableau or Power BI

  • - Knowledge of database design principles

  • - Ability to work independently as well as collaboratively in a team environment

  • - Excellent communication skills

  • - Attention to detail

  • - Prior experience in data mining is a plus but not required


We offer


  • - Competitive salary of 1600$ per month

  • - Accommodation provided

  • - Visa sponsorship provided

  • - Opportunity for growth within the company


If you are passionate about working with large datasets and have a strong interest in data analysis, then this role may be perfect for you.

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