Data-mining Research Analyst

MapleGroves

Denmark

On-site

DKK 95,000 - 114,000

Full time

2 days ago
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Job summary

MapleGroves is seeking a Data-mining Research Analyst to collect, organize, and analyze large datasets, identifying patterns and trends. You will extract insights and present findings clearly, collaborating with the team while staying current with new techniques and tools.

The role emphasizes strong analytical skills, attention to detail, and the ability to work independently in Greenland. A starting salary of $1400 per month is offered, with housing arrangements not provided.

Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics or related field.
  • Strong analytical skills with the ability to manage large data sets and details.
  • Experience with data mining software/tools (e.g., Python, R) is preferred but not required.
  • Knowledge of statistical methods such as regression analysis or machine learning is a plus.
  • Excellent communication skills and ability to present complex information clearly.
  • Team player with the ability to work independently when needed.
  • Willingness to learn new tools and techniques.

Responsibilities

  • Conduct thorough research on various data sources to gather relevant information
  • Clean and preprocess data to ensure accuracy and completeness
  • Utilize data mining software/tools to extract valuable insights from large datasets
  • Analyze and interpret data to identify patterns, trends, and correlations
  • Create visualizations and reports to present findings clearly
  • Collaborate with team members to identify areas for improvement or further analysis
  • Stay updated on new data mining techniques and tools to enhance performance

Skills

Analytical skills
Data mining
Data interpretation

Education

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

Tools

Python
R

Job description

Data-mining vacancy in Greenland Denmark

As a Data-mining Research Analyst, you will be responsible for collecting, organizing, and analyzing large sets of data to identify patterns and trends. Using various data mining tools and techniques, you will extract valuable insights and present them in a clear and concise manner. This role requires strong analytical skills, attention to detail, and the ability to work independently. Previous experience in data mining is preferred but not required. This is a full-time position based in Greenland with a starting salary of $1400 per month. Accommodation is not provided, so candidates must have their own housing arrangements.



  • Conduct thorough research on various data sources to gather relevant information

  • Clean and preprocess data to ensure accuracy and completeness

  • Utilize data mining software/tools to extract valuable insights from large datasets

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

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

  • Collaborate with team members to identify areas for improvement or further analysis

  • Stay updated on new data mining techniques and tools to enhance performance



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

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail

  • Experience with data mining software/tools (e.g., Python, R) is preferred but not required

  • Knowledge of statistical methods such as regression analysis or machine learning algorithms is a plus

  • Excellent communication skills with the ability to present complex information in an easy-to-understand format

  • Team player with the ability to work independently when needed

  • Willingness to learn new tools and techniques as needed


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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