Data Mining Analyst: Uncover Patterns & Build Models

SummitLogic

Washington

On-site

USD 13,000 - 18,000

Full time

14 days+
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Job summary

SummitLogic in Washington is seeking a Data Mining Analyst to collect, analyze and interpret large data sets, identify patterns and provide actionable insights for clients. You will work with our team of data scientists and software engineers to develop models and algorithms that extract information from diverse sources.

The ideal candidate has strong analytical skills, attention to detail, and a passion for data mining.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
  • Strong analytical skills with attention to detail.
  • Proficiency in SQL or other programming languages used for data manipulation.
  • Familiarity with statistical methods such as regression analysis or machine learning algorithms.

Responsibilities

  • Collecting, organizing and cleaning large datasets from various sources.
  • Using statistical methods to analyze data and identify patterns or trends.
  • Developing models and algorithms for data extraction.
  • Creating visualizations and reports to present findings to clients.
  • Collaborating with team members on projects and providing insights from your analysis.
  • Continuously learning about new techniques and tools in the field of data mining.

Skills

Analytical thinking
Attention to detail
SQL proficiency
Statistical methods
Machine learning familiarity
Communication skills
Teamwork

Education

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

Tools

SQL Server
Oracle

Job description

SummitLogic in Washington is seeking a Data Mining Analyst to collect, analyze and interpret large data sets, identify patterns and provide actionable insights for clients. You will work with our team of data scientists and software engineers to develop models and algorithms that extract information from diverse sources.

The ideal candidate has strong analytical skills, attention to detail, and a passion for data mining.

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