Data Scientist/Analytics Engineer

Tucson, Arizona, United States

Job Reference 1243327

Location Tucson, Arizona, United States

Industry Process - Mining & Metals

Function IT & Telecoms

Job Type Contract

Date Added June 14, 2024

Job Title: Data Analyst

Location: Tucson, AZ

Contract: 12-month W2 contact (not available on C2C)


Position Overview: We are seeking a talented and motivated Data Analyst to join our team in Tucson, AZ. The ideal candidate will have experience with Python, R programming, SQL scripting, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with Snowflake or similar data warehousing platforms is highly desirable.


Key Responsibilities:

  • Utilize Python or R programming languages to extract, clean, and analyze data from various sources.
  • Write SQL scripts to query databases and manipulate data for analysis.
  • Perform ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.
  • Design and implement data models for analytics applications.
  • Create interactive and insightful visualizations using Tableau, Power BI, or similar tools.
  • Apply statistical and machine learning techniques, including regression, clustering, decision trees, and neural networks.
  • Work with geospatial data and analytics, including GIS tools and techniques.
  • Collaborate with cross-functional teams to understand data requirements and provide actionable insights.
  • Conduct quality assessments on water quality data or other relevant datasets.



  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
  • Proficiency in Python, R programming, and SQL scripting.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Familiarity with Snowflake or other data warehousing platforms is a plus.
  • Solid understanding of statistical and machine learning techniques.
  • Proficient in data modeling for analytics applications.
  • Strong problem-solving, critical thinking, and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, dynamic environment and handle multiple projects simultaneously.

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